Proceedings: June 21 - 23, 1994, Seattle, Washington
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Alamitos, Calif. u.a.
IEEE Computer Soc. Press
1994
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Nebent.: 1994 IEEE computer vision and pattern recognition |
| Beschreibung: | XVI, 1009 S. Ill., graph. Darst. |
| ISBN: | 0818658258 0818658274 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV010005283 | ||
| 003 | DE-604 | ||
| 005 | 19950124 | ||
| 007 | t | ||
| 008 | 950124s1994 ad|| |||| 10||| eng d | ||
| 020 | |a 0818658258 |9 0-8186-5825-8 | ||
| 020 | |a 0818658274 |9 0-8186-5827-4 | ||
| 035 | |a (OCoLC)312213807 | ||
| 035 | |a (DE-599)BVBBV010005283 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-739 |a DE-91G |a DE-29T |a DE-83 | ||
| 084 | |a DAT 770f |2 stub | ||
| 084 | |a DAT 760f |2 stub | ||
| 111 | 2 | |a Conference on Computer Vision and Pattern Recognition |d 1994 |c Seattle, Wash. |j Verfasser |0 (DE-588)5119067-9 |4 aut | |
| 245 | 1 | 0 | |a Proceedings |b June 21 - 23, 1994, Seattle, Washington |c 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| 246 | 1 | 3 | |a Computer vision and pattern recognition |
| 264 | 1 | |a Los Alamitos, Calif. u.a. |b IEEE Computer Soc. Press |c 1994 | |
| 300 | |a XVI, 1009 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Nebent.: 1994 IEEE computer vision and pattern recognition | ||
| 650 | 0 | 7 | |a Telekommunikationsnetz |0 (DE-588)4133586-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Kunst |0 (DE-588)4114333-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Computerkunst |0 (DE-588)4010453-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bildverstehen |0 (DE-588)4202022-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datennetz |0 (DE-588)4011130-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mikrocomputer |0 (DE-588)4039206-5 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 1994 |z Seattle Wash. |2 gnd-content | |
| 689 | 0 | 0 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |D s |
| 689 | 0 | 1 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Bildverstehen |0 (DE-588)4202022-0 |D s |
| 689 | 1 | 1 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |D s |
| 689 | 1 | |8 1\p |5 DE-604 | |
| 689 | 2 | 0 | |a Mikrocomputer |0 (DE-588)4039206-5 |D s |
| 689 | 2 | 1 | |a Kunst |0 (DE-588)4114333-4 |D s |
| 689 | 2 | |8 2\p |5 DE-604 | |
| 689 | 3 | 0 | |a Computerkunst |0 (DE-588)4010453-9 |D s |
| 689 | 3 | |8 3\p |5 DE-604 | |
| 689 | 4 | 0 | |a Telekommunikationsnetz |0 (DE-588)4133586-7 |D s |
| 689 | 4 | |8 4\p |5 DE-604 | |
| 689 | 5 | 0 | |a Datennetz |0 (DE-588)4011130-1 |D s |
| 689 | 5 | |8 5\p |5 DE-604 | |
| 856 | 4 | 2 | |m Digitalisierung TU Muenchen |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006632902&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-006632902 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 4\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 5\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Datensatz im Suchindex
| _version_ | 1804124382739562496 |
|---|---|
| adam_text | Contents
Chair s Introduction
...............................................................................................................................xiv
Program Committee
................................................................................................................................xv
Reviewers
...............................................................................................................................................xvi
Low Level
1
(Surfaces)
A New Robust Operator for Computer Vision: Theoretical Analysis
.......................................................1
C. V.
Stewart
An
Ο (Ν)
Iterative Solution to the
Poisson
Equation in Low-Level Vision Problems
...............................9
S.H. Lai and B.C.
Venturi
The Outlier Process: Unifying Line Processes and Robust Statistics
......................................................15
M.J. Black and A. Rangarajan
Segmentation of Surface Curvature Using a Photometric Invariant
........................................................23
LB. Wolffand J.
Fan
Object Recognition
1
Illumination Planning for Object Recognition in Structured Environments
............................................31
H.
Murase
and S.K. Nayar
Constraint-Fusion for Interpretation of Articulated Objects
....................................................................39
Y. Hel-Or and M. Werman
Feature Matching for Building Extraction from Multiple Views
............................................................46
M. Roux
and
D.M.
McKeown
Projective
and Object Space Geometry for Monocular Building Extraction
...........................................54
J.C. McGlone and].A. Shufelt
Detection of Buildings Using Peceptual Grouping and Shadows
............................................................62
C. Lin,
A. Huertas,
and R. Nevatia
Pattern Recognition/Systems
1
Computing
Spatio-Temporal
Representations of Human Faces
..............................................................70
Y. Yacoob and L. Davis
A Vision System for Observing and Extracting Facial Action Parameters
..............................................76
I.A.
Essa
and
Α. Ρ
ent
land
View-Based and Modular
Eigenspaces
for Face Recognition
.................................................................84
A. Pentland, B. Moghaddam, and T. Starner
Low-Level
2
(Curves and Contours)
Nonlinear Diffusion of Scalar Images Using Well-Posed Differential Operators
...................................92
W.J. Niessen, B.M.
ter
Haar
Rameny,
L.M.
J.
Florack, A.H.
Salden,
and
M.A. Viergever
Automated
Design
of Bayesian Perceptual Inference Networks
.............................................................98
5. Sarkar
and
K.L.
Boyer
Perceptual Completion of Occluded Surfaces
.......................................................................................104
L.R. Williams and A.R. Hanson
Geometric Heat Equation and Nonlinear Diffusion of Shapes and Images
...........................................113
B.J. Kimia and K. Siddiqi
Motion
1
Registration without Correspondences
..................................................................................................121
P. Fua and Y.G.
Ledere
A New Closed-Form Solution for Absolute Orientation
.......................................................................129
2.
Wang and A. Jepson
Extraction of
3D
Shape from Optic Flow: A Geometric Approach
.......................................................135
T.M.H. Dijkstra,
PR.
Snoeren,
and
С.
C.A.M. Gieten
A Framework for Recovering
Affine
Transforms Using Points, Lines, or Image Brightness
...............141
R. Manmatha
Panel
Object Representation for Object Recognition
......................................................................................147
J. Ponce, R.
Bajcsy,
D.
Metaxas,
Т.О.
Binford, DA.
Forsyth, M.
Hebert,
К.
Ikeuchi, A.C.
Как,
L.
Shapiro,
S. Sclaroff, A. Pentland, and G.
С
Stockman
3D
Vision
Surface Description
of Complex Objects from Multiple Range Images
................................................153
Y. Chen and and G. Medioni
Recovering Parametric Geons from Multiview Range Data
..................................................................159
K. Wu and M.D.
Levine
A New Robust Operator for Computer Vision: Application to Range Data
..........................................167
С
V. Stewart
The Extruded Generalized Cylinder: A Deformable Model for Object Recovery
................................174
T. O Donnell,
Т.Е.
Boult, X.-S. Fang, and A. Gupta
Orientation-Based Representations of
3-D
Shape
.................................................................................182
Y. Li and R.J. Woodham
Motion
2
A Visual-Motion Fixation Invariant
...................................................................................................... 188
D. Raviv and
N.
Ozery
Hierarchical Spline-Based Image Registration
......................................................................................194
R. Szeliski and J. Coughian
Subpixel
Contour Matching Using Continuous Dynamic Programming
...............................................202
fi. Serra
and
M. Berthod
Computing Differential Properties of
3-D
Shapes from Stereoscopic Images without
3-D
Models
...........................................................................................................................................208
F.
Deve
may and O.D. Faugeras
A Survey of Motion Analysis from Moving Light Displays
..................................................................214
C.
Cedras
and M. Shah
Low Level
3
(Filtering)
Overcomplete Steerable Pyramid Filters and Rotation
Invariance
........................................................222
И.
Greenspan.
S.
Belongie,
R.
Goodman, P.
Perona.
S.
Rakshit. and C.H. Anderson
Analytical Studies of Low-Level Motion Estimators in Space-Time Images Using a Unified
Filter Concept
........................................................................................................................................229
B.
Jahne
X-Y Separable Pyramid Steerable Scalable Kernels
.............................................................................237
D. Shy and P.
Perona
Singularity Analysis and Derivative Scale-Space
..................................................................................245
F- Falzon and G.
Girandoti
Object Recognition
2
Time and Space Efficient Pose Clustering
............................................................................................251
CF.
Olson
Efficient Indexing Techniques for Model Based Sensing
.....................................................................259
A.S. WallackandJ-F. Canny
Recognition by Functional Parts
............................................................................................................267
E. Rivlin, S.J. Dickinson, and A.
Rosenfeld
Learning Indexing Functions for
3-D
Model-Based Object Recognition
..............................................275
J.S.
Beis
and
D. G
.
Lowe
Robust Feature Selection for Object Recognition Using Uncertain 2D Image Data
.............................281
T.L. Gandhi and O.I. Camps
Systems and Applications
Complementary Data Fusion for Limited-Angle Tomography
..............................................................288
J.E. Boy
d
and
J. J
.
Little
Tracking of Tubular Objects for Scientific Applications
......................................................................295
В.
Parvin,
С.
Peng,
W.
Johnston, and
M.
Maestre
Automating the Hunt for Volcanoes on Venus
......................................................................................302
M.C. Burl,
U.M.
Fayyad, P.
Perona,
P. Smyth, andM.P. Burl
Salient Structure Analysis of Fluid Flow
...............................................................................................310
J. Zhong, T.S. Huang, and R.J. Adrian
On Integration of Vision Modules
.........................................................................................................316
S. Pankanti, A.K. Jain, and M. Tuceryan
Active Vision
1
Occluding Contour Detection Using
Affine
Invariants and Purposive Viewpoint Control
...................323
K.N. Kutulakos and C.R. Dyer
Global Surface Reconstruction by Purposive Control of Observer Motion
..........................................331
А .Л .
Kutulakos and C.R. Dyer
Autonomous Exploration: Driven by Uncertainty
.................................................................................339
P. Whaite and F.P.
Ferrie
Optimal Estimation of
3D
Structures Using Visual Servoing
................................................................347
F. Chaumette, S. Boukir, P. Bouthemy, and D. Juvin
Physics-Based Vision
1
Using Illumination Invariant Color Histogram Descriptors for Recognition
.........................................355
G. Healey and D. Slater
A Framework for Segmentation Using Physical Models of Image Formation
......................................361
B.A. Maxwell and
S.A.
Shafer
On the Relative Brightness of Specular and Diffuse Reflection
............................................................369
L.B. Wolff
Analysis of Shape from Shading Techniques
........................................................................................377
R. Zhang,
P.S.
Tsai, J.E. Cry
er,
and
M. Shah
Document Processing
Document Image Understanding: Geometric and Logical Layout
........................................................385
R.M. Haralick
A Practical Pattern Recognition System for Translation. Scale, and Rotation
Invariance
.....................391
IV.
-К
Kim and P. Yuan
Recognizing Off-Line Cursive Handwriting
..........................................................................................397
B.A. Yanikoglu and
P.A.
Sandon
An On-Line Cursive Word Recognition System
...................................................................................404
G.
Seni,
N.
Nasrabadi, and R. Srihari
Benchmarking Page Segmentation Algorithms
.....................................................................................411
S. Randriamasy and L. Vincent
Pattern Recognition/Systems
2
Object Recognition Using Multi-Layer Hopfield Neural Network
.......................................................417
S.S.
Young,
P.D.
Scott, and
N.M.
Nasrabadi
Three-Dimensional Image Registration for Spiral CT Angiography
.....................................................423
M.M. Yeung, B.-L. Yeo, S.-P.
Liou,
and A. Banihashemi
An Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery,
and Enhanced Reality Visualization
......................................................................................................430
W.E.L. Grimson,
T. Lozano-Pérez,
W.M.
Wells, G.J. Ettinger, S.J. White, and R. Kikinis
Deformabile
Models with Parameter Functions: Application to Heart-Wall Modeling
.........................437
J. Park, D. Metaxas, and A. Young
Plenary Session
—
Invited Talk
The Development of the Image Understanding Environment
...............................................................443
С
Kohl and J. Mundy
Motion
3
MDL-Based
Spatiotemporal
Segmentation from Motion in a Long Image Sequence
...........................448
H. Gu, Y. Shirai, and M.
Asada
Recovery of Ego-Motion Using Image Stabilization
.............................................................................454
M. Irani, B. Rousso, and
S. P
ele
g
Tíme-to-X:
Analysis of Motion through Temporal Parameters
.............................................................461
P. Burlina and R. Chellappa
Analyzing and Recognizing Walking Figures in XYT
..........................................................................469
S.A.
Niyogi and
E.H.
Adelson
Representation and Computation of the Spatial Environment for Indoor Navigation
...........................475
D. Kim and R. Nevatia
Object Recognition
3
(Projective Geometry
&
Invariance)
Relative
Affine
Structure: Theory and Application to
3D
Reconstruction from
Perspective Views
.................................................................................................................................483
A. Shashua and
N.
Navab
Affine-Invariant B-Spline Moments for Curve Matching
......................................................................490
Z. Huang and F.S. Cohen
Localy
Affine
Registration of Free-Form Surfaces
...............................................................................496
J. Feldmar and
N.
Axache
Using Global Consistency to Recognise Euclidean Objects with an Uncalibrated Camera
..................502
DA.
Forsyth,
J.L Mundy, A. Zisserman, and
С
A.
Rothwell
Physics-Based Vision
2
Height Recovery from Intensity Gradient
..............................................................................................508
R. Zhang and M. Shah
Recovering the Shape of Polyhedra Using Line-Drawing Analysis and Complex
Reflectance Models
...............................................................................................................................514
/.
Shimshoni and J. Ponce
Surface Curvature from Integrability
.....................................................................................................520
J. Fan and
Ĺ. B
.
Wolff
A Shape-from-Texture Algorithm Based on Human Visual Psychophysics
..........................................527
K. Sakai and L.H.
Finkel
Active Vision
2
Real-Time Feature Tracking and
Projective
Invariance as a
Basis for Hand-Eye Coordination
...........533
G.D.
Hager
Accurate
Vergence
Control in Complex Scenes
............................................................../.·....................540
J. Taylor, T. Olson, and W.N. Martin
Recognizing Object Function through Reasoning About
3-D
Shape and Dynamic
Physical Properties
................................................................................................................................546
L
Stark
Qualitative Obstacle Detection
..............................................................................................................554
Z. Zhang, R. Weiss, and A.R. Hanson
3D
Models
Principal Component Analysis with Missing Data and its Application to Object Modeling
.................560
H.-Y. Shum, K. Ikeuchi, andR. Reddy
Blended Deformable Models
.................................................................................................................566
D.
DeCarlo
and D. Metaxas
Merging Range Images of Arbitrarily Shaped Objects
..........................................................................573
M. Rutishauser, M. Strieker, and M.
Trotina
Registration of Multiple Range Views for Automatic
3-D
Model Building
..........................................581
H. Gagnon, M. Soucy, R.
Bergevin,
and D. Laurendeau
Extremal Points: Definition and Application to
3D
Image Registration
...............................................587
J.-P. Thirion
Low-Level Vision
4
(Feature Extraction)
Good Features to Track
.........................................................................................................................593
J. Shi and
С
Tornasi
Deformable Contours: Modeling and Extraction
...................................................................................601
K.F. LaiandR.T. Chin
A Fast Algorithm for
MDL
-Based Multi-Band Image Segmentation
....................................................609
T. Kanungo, B.
Dom, W.
Niblack, and D. Steele
Simultaneous Segmentation and Approximation of Complex Patterns
.................................................617
C.-W. Liao and G.
Mediani
POSTER SESSION
1
A. Low Level Posters
Deformable Boundary Finding Influenced by Region Homogeneity
....................................................624
A. Chakraborty. L.H. Staib, andJ.S. Duncan
Hierarchical
Gabor
Filters for Object Detection in Infrared Images
.....................................................628
R.N. Braithwaite and B. Bhanu
Medium Level Scene Representation Using a VLSI Smart Hexagonal Sensor with Multiresolution
Edge Extraction Capability and Scale Space Integration Processing
....................................................632
M. Tremblay, M.
Saxar
d, and D.
Poussart
Voronoi Diagrams of Polygons: A Framework for Shape Representation
............................................638
N.
Mayya and V. T.
Rajan
Efficient Parallel Multigrid Relaxation Algorithms for Markov Random Field-Based Low-Level
Vision Applications
...............................................................................................................................644
E. Mémin, F.
Heitz, and F. Charot
Practical Edge Finding with a Robust Estimator
...................................................................................649
MM. Fleck
Reconstruction of High Resolution
3D
Visual Information
..................................................................654
M. Berthod, H. Shekarforoush, M. Werman, and J. Zerubia
Initializing Snakes
.................................................................................................................................658
W. Neuenschwander, P. Fua, G.
Székely,
and O.
Kubier
Localized Radon Transform-Based Detection of Linear Features in Noisy Images
..............................664
A.C.
Copeland, G. Ravichandran, and MM., Trivedi
Variable Window
Gabor
Filters and Their Use in Focus and Correspondence
.....................................668
Y. Xiong and
S.A.
Shafer
Automatic Selection of Tuning Parameters for Feature Extraction Sequences
.....................................672
V. Ramesh, R.M. Haralick, X. Zhang,
D.D.
Nadadur, and K. Thornton
Quantitative Performance Evaluation of Thinning Algorithms under Noisy Conditions
......................678
M. Y. Jaisimha, R.M. Haralick, and D.
Doń
В.
Pattern Recognition/Systems Posters
Automated Discovery of Detectors and Iteration-Performing Calculations to Recognize Patterns
in Protein Sequences Using Genetic Programming
...............................................................................684
J.R.
Koza
Qualitative Image Analysis of Group Behaviour
...................................................................................690
T. Kawashima, K. Yoshino, and Y. Aoki
Site Model Supported Monitoring of Aerial Images
.............................................................................694
C.L. Lin, Q. Zheng, R. Chellappa, L.S. Davis, and X. Zhang
Gaussian Normalization of Morphological Size Distributions for Increasing Sensitivity to Texture
Variations and its Application to Pavement Distress Classification
......................................................700
C. Bhagvati, MM. Skolnick, and D.A. Grivas
The Capacity of Color Histogram Indexing
..........................................................................................704
M. Strieker and M. Swain
A Study Relating Image Sampling Rate and Image Pattern Recognition
..............................................709
G. Srikantan and S.N. Srihari
Depth from Focus with One Image
........................................................................................................713
B.
Jahne
and P.
Geißler
VISIPLAN: A Hierarchical Planning Framework for Composing
Biomedical
Image Analysis Processes
......................................................................................................................718
L. Gong and C.A. Kulikowski
A Hierarchical Statistical Framework for the Segmentation of Deformable Objects
in Image Sequences
...............................................................................................................................724
C.
Ken rann
and
F.
Heitz
Information Extraction from Telephone Company Drawings
...............................................................729
J.F. Arias, S. Balasubramanian,
A. Prasad,
R.
Kasturi, and A. Chhabra
A Maximum Likelihood
N-Camera
Stereo Algorithm
..........................................................................733
l.J. Cox
Hexagonal Wavelet Representations for Recognizaing Complex Annotations
.....................................740
A.F.
Laine
and S.
Schuier
Skeleton-Space: A Multiscale Shape Description Combining Region and Boundary Information
.......746
R.L. Ogniewicz
Shape Analysis of Brain Structures Using Physical and Experimental Modes
......................................752
J. Martin, A. Pentland, and R. Kikinis
Face Recognition Under Varying Pose
.................................................................................................756
DJ. Beymer
Age Classification from Facial Images
..................................................................................................762
Y.H. Kwon and
N.
da
Vitoria
Lobo
Vista: A Software Environment for Computer Vision Research
...........................................................768
A.R. Pope and D.G. Lowe
POSTER SESSION
2
A. Active Vision Posters
Model-Based Next View Planning by Using Rules
—
Automatic Feature Prediction
and Detection
........................................................................................................................................773
H. Liu and X. Lin
A New Method to Calculate Looming for Autonomous Obstacle Avoidance
.......................................777
K. Joarder and D. Raviv
Integration of Bottom-Up and
Тор
-Down
Cues for Visual Attention Using
Non-Linear Relaxation
..........................................................................................................................781
R. Milanese, H.
Wechsler,
S.
Gil,
J.
-M.
Bost, and
T.
Pun
Focused Image Recovery from Two Defocused Images Recorded with Different
Camera Settings
.....................................................................................................................................786
M. Subbarao, T.-C. Wei, and G. Surya
Controlled Active Exploration of Uncalibrated Environments
..............................................................792
C.E. Smith,
S.A.
Brandt, and N.P. Papanikolopoulos
Obstacle Dectection Analysis
................................................................................................................796
P.
Bobet
and
С
Schmid
Viewpoint Selection for Visual Search
..................................................................................................800
L. Wixson
Active Stereo Vision and
Cyclotorsion
.................................................................................................806
M.R.M.
Jenkin
and
J.
К.
Tsotsos
Qualitative Tracking of
3-D
Objects Using Active Contour Networks
.................................................812
S.J. Dickinson, P. Jasiobedzki,
G. Olofsson,
and H.I. Christensen
Emerging Hypothesis Verification Using Function-Based Geometric Models
and Active Vision Strategies
.................................................................................................................818
С
P. Lam, G.A.W. West, and S. Venkatesh
Reactive View Planning for Quantification of Local Geometry
............................................................823
C.B.
Madsen and H.I. Christensen
The Resolvability Ellipsoid for Visual Servoing
...................................................................................829
B.J. Nelson and P. K. Khosla
Recognition by Using an Active/Space-Variant Sensor
........................................................................833
M. TistareUi
Executing Reactive Behavior for Autonomous Navigation
...................................................................838
B. Rochwerger, C.L. Fennema, B. Draper, A.R. Hanson, and E.M. Riseman
B.
3D
Vision Posters
Visually-Guided Navigation by Comparing Two-Dimensional Edge Images
.......................................842
D.P. Huttenlocher. M.E. Leventon, and W.J. Rucklidge
Realistic Range Rendering
....................................................................................................................848
P.J. Fly mi
Extraction of the Zero-Crossings of the Curvature Derivatives in Volumic
3D
Medical Images:
A Multi-Scale Approach
.......................................................................................................................852
O. Monga,
R.
Lengagne. and R. Deriche
Simplex Meshes: A General Representation for
3D
Shape Reconstruction
..........................................856
H. Delingette
Dense,
Time-Vary ing Range Data Acquisition from Stereo Pairs of Thermal and Intensity Images
.... 860
J. Ohya and F. Kishino
C. Object Recognition Posters
A Markov Random Field Model for Object Matching under Contextual Constraints
...........................866
S.Z.
Li
Probe Based Recognition of Targets in Infrared Images
.......................................................................870
S.Z. Der
and R. Chellappa
Hot Curves for Modelling and Recognition of Smooth Curved
3D
Objects
.........................................876
T. Joshi, J. Ponce, B. Vijaykumar, and D.J. Kriegman
Data and Model-Driven Selection Using Closely-Spaced Parallel-Line Groups
...................................881
T.F. Syeda-Mahmood
2D Matching of
3D
Moving Objects in Color Outdoor Scenes
.............................................................887
M.-P. Dubuisson and A.K. Jain
Error Propagation in Full
ZO-ïxom-ID
Object Recognition
..................................................................892
T.D. Alter and D. W. Jacobs
POSTER SESSION
3
A. Motion Posters
Detecting Multiple Image Motions by Exploiting Temporal Coherence of Apparent Motion
..............899
H.-J. Chen and Y. Shirai
Projective
Reconstruction from Line Correspondences
........................................................................903
R.I. Hartley
An Algorithm for Self Calibration from Several Views
........................................................................908
R.I. Hartley
Pictures and Trails: A New Framework for the Computation of Shape and Motion from
Perspective Image Sequences
................................................................................................................913
C.
Tornasi
Structure from Image Sequences Captures through a Monocular Extra-Wide Angle Lens
...................919
K.
Kato,
T.
Nakanishi, A. Shio, and K. Ishii
Accurate Structure and Motion Computation in the Presence of Range Image Distortions Due to
Sequential Acquisition
..........................................................................................................................925
P. W. Smith and
N.
Nandhakumar
3D
Geometry from Planar Parallax
.......................................................................................................929
H.S. Sawhney
Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans
...............................935
F. Lu
and
E.E.
Millos
Motion Estimation and Vector Splines
..................................................................................................939
D. Suter
Determination of Motion Parameters and Estimation of Point Correspondences in Small
Nonrigid Deformations
..........................................................................................................................943
C. Kambhamettu, D.B. Goldgof. and M. He
Robust Motion Analysis
........................................................................................................................947
M. BoberandJ. Kittler
Adaptive-Complexity Registration of Images
.......................................................................................953
J.R.
Müller,
P. Anandan, and J.R. Bergen
Independent Motion Segmentation and Collision Prediction for Road Vehicles
..................................958
D. Sinclair, B. Boufama. and R. Mohr
Motion and Structure from One Dimensional Optical Flow
..................................................................962
E. De Micheli
and
F. G
iac
he
ro
Integration
of Transitory Image Sequences
...........................................................................................966
J. Weng,
Y.
Cui,
N.
Ahuja, and A. Singh
Affine Invariant
Detection of Periodic Motion
.....................................................................................970
S.M.
Seitz and C.R. Dyer
Modelled Object Pose Estimation and Tracking by a Multi-Cameras System
......................................976
P. Braud, M. Dhome, J. T.
Lapresté,
and
N.
Daucher
Active Part-Decomposition, Shape, and Motion Estimation of Articulated Objects:
A Physics-Based Approach
...................................................................................................................980
I.A.
Kakadiaris, D. Metaxas, and R.
Bajcsy
В.
Physics-Based Posters
Closed-Form Attitude Determination Under Spectrally Varying Illumination
......................................985
M.S. Drew and
L.L Kontsevich
Adaptive Polynomial Modelling of the Reflectance Map for Shape Estimation from
Stereo and Shading
................................................................................................................................991
D.R. Hougen and
N.
Ahuja
A Low-Dimensional Representation of Human Faces for Arbitrary Lighting Conditions
.....................995
P. W.
Hallinan
Scene Understanding from Propagation and Consistency of Polarization-Based Constraints
.............1000
L.B. Wolff
Author Index
.......................................................................................................................................1006
|
| any_adam_object | 1 |
| author_corporate | Conference on Computer Vision and Pattern Recognition Seattle, Wash |
| author_corporate_role | aut |
| author_facet | Conference on Computer Vision and Pattern Recognition Seattle, Wash |
| author_sort | Conference on Computer Vision and Pattern Recognition Seattle, Wash |
| building | Verbundindex |
| bvnumber | BV010005283 |
| classification_tum | DAT 770f DAT 760f |
| ctrlnum | (OCoLC)312213807 (DE-599)BVBBV010005283 |
| discipline | Informatik |
| format | Conference Proceeding Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03089nam a2200673 c 4500</leader><controlfield tag="001">BV010005283</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">19950124 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">950124s1994 ad|| |||| 10||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0818658258</subfield><subfield code="9">0-8186-5825-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0818658274</subfield><subfield code="9">0-8186-5827-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)312213807</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV010005283</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-739</subfield><subfield code="a">DE-91G</subfield><subfield code="a">DE-29T</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 770f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 760f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="111" ind1="2" ind2=" "><subfield code="a">Conference on Computer Vision and Pattern Recognition</subfield><subfield code="d">1994</subfield><subfield code="c">Seattle, Wash.</subfield><subfield code="j">Verfasser</subfield><subfield code="0">(DE-588)5119067-9</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Proceedings</subfield><subfield code="b">June 21 - 23, 1994, Seattle, Washington</subfield><subfield code="c">1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Computer vision and pattern recognition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Los Alamitos, Calif. u.a.</subfield><subfield code="b">IEEE Computer Soc. Press</subfield><subfield code="c">1994</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XVI, 1009 S.</subfield><subfield code="b">Ill., graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Nebent.: 1994 IEEE computer vision and pattern recognition</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Telekommunikationsnetz</subfield><subfield code="0">(DE-588)4133586-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Kunst</subfield><subfield code="0">(DE-588)4114333-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Computerkunst</subfield><subfield code="0">(DE-588)4010453-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bildverstehen</subfield><subfield code="0">(DE-588)4202022-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datennetz</subfield><subfield code="0">(DE-588)4011130-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mikrocomputer</subfield><subfield code="0">(DE-588)4039206-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">1994</subfield><subfield code="z">Seattle Wash.</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Bildverstehen</subfield><subfield code="0">(DE-588)4202022-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Mikrocomputer</subfield><subfield code="0">(DE-588)4039206-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Kunst</subfield><subfield code="0">(DE-588)4114333-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Computerkunst</subfield><subfield code="0">(DE-588)4010453-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="4" ind2="0"><subfield code="a">Telekommunikationsnetz</subfield><subfield code="0">(DE-588)4133586-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="4" ind2=" "><subfield code="8">4\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="5" ind2="0"><subfield code="a">Datennetz</subfield><subfield code="0">(DE-588)4011130-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="5" ind2=" "><subfield code="8">5\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung TU Muenchen</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006632902&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-006632902</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">4\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">5\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift 1994 Seattle Wash. gnd-content |
| genre_facet | Konferenzschrift 1994 Seattle Wash. |
| id | DE-604.BV010005283 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:44:47Z |
| institution | BVB |
| institution_GND | (DE-588)5119067-9 |
| isbn | 0818658258 0818658274 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006632902 |
| oclc_num | 312213807 |
| open_access_boolean | |
| owner | DE-739 DE-91G DE-BY-TUM DE-29T DE-83 |
| owner_facet | DE-739 DE-91G DE-BY-TUM DE-29T DE-83 |
| physical | XVI, 1009 S. Ill., graph. Darst. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | IEEE Computer Soc. Press |
| record_format | marc |
| spelling | Conference on Computer Vision and Pattern Recognition 1994 Seattle, Wash. Verfasser (DE-588)5119067-9 aut Proceedings June 21 - 23, 1994, Seattle, Washington 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Computer vision and pattern recognition Los Alamitos, Calif. u.a. IEEE Computer Soc. Press 1994 XVI, 1009 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Nebent.: 1994 IEEE computer vision and pattern recognition Telekommunikationsnetz (DE-588)4133586-7 gnd rswk-swf Kunst (DE-588)4114333-4 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Computerkunst (DE-588)4010453-9 gnd rswk-swf Bildverstehen (DE-588)4202022-0 gnd rswk-swf Datennetz (DE-588)4011130-1 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Mikrocomputer (DE-588)4039206-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1994 Seattle Wash. gnd-content Maschinelles Sehen (DE-588)4129594-8 s Mustererkennung (DE-588)4040936-3 s DE-604 Bildverstehen (DE-588)4202022-0 s 1\p DE-604 Mikrocomputer (DE-588)4039206-5 s Kunst (DE-588)4114333-4 s 2\p DE-604 Computerkunst (DE-588)4010453-9 s 3\p DE-604 Telekommunikationsnetz (DE-588)4133586-7 s 4\p DE-604 Datennetz (DE-588)4011130-1 s 5\p DE-604 Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006632902&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Proceedings June 21 - 23, 1994, Seattle, Washington Telekommunikationsnetz (DE-588)4133586-7 gnd Kunst (DE-588)4114333-4 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Computerkunst (DE-588)4010453-9 gnd Bildverstehen (DE-588)4202022-0 gnd Datennetz (DE-588)4011130-1 gnd Mustererkennung (DE-588)4040936-3 gnd Mikrocomputer (DE-588)4039206-5 gnd |
| subject_GND | (DE-588)4133586-7 (DE-588)4114333-4 (DE-588)4129594-8 (DE-588)4010453-9 (DE-588)4202022-0 (DE-588)4011130-1 (DE-588)4040936-3 (DE-588)4039206-5 (DE-588)1071861417 |
| title | Proceedings June 21 - 23, 1994, Seattle, Washington |
| title_alt | Computer vision and pattern recognition |
| title_auth | Proceedings June 21 - 23, 1994, Seattle, Washington |
| title_exact_search | Proceedings June 21 - 23, 1994, Seattle, Washington |
| title_full | Proceedings June 21 - 23, 1994, Seattle, Washington 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| title_fullStr | Proceedings June 21 - 23, 1994, Seattle, Washington 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| title_full_unstemmed | Proceedings June 21 - 23, 1994, Seattle, Washington 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| title_short | Proceedings |
| title_sort | proceedings june 21 23 1994 seattle washington |
| title_sub | June 21 - 23, 1994, Seattle, Washington |
| topic | Telekommunikationsnetz (DE-588)4133586-7 gnd Kunst (DE-588)4114333-4 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Computerkunst (DE-588)4010453-9 gnd Bildverstehen (DE-588)4202022-0 gnd Datennetz (DE-588)4011130-1 gnd Mustererkennung (DE-588)4040936-3 gnd Mikrocomputer (DE-588)4039206-5 gnd |
| topic_facet | Telekommunikationsnetz Kunst Maschinelles Sehen Computerkunst Bildverstehen Datennetz Mustererkennung Mikrocomputer Konferenzschrift 1994 Seattle Wash. |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006632902&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT conferenceoncomputervisionandpatternrecognitionseattlewash proceedingsjune21231994seattlewashington AT conferenceoncomputervisionandpatternrecognitionseattlewash computervisionandpatternrecognition |