Proceedings:
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Alamitos, Calif. u.a.
IEEE Computer Society Press
1990
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XV, 759 S. graph. Darst. |
| ISBN: | 0818620579 |
Internformat
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| 111 | 2 | |a International Conference on Computer Vision |n 3 |d 1990 |c Osaka |j Verfasser |0 (DE-588)5072712-6 |4 aut | |
| 245 | 1 | 0 | |a Proceedings |c third International Conference on Computer Vision, December 4 - 7, 1990, Osaka, Japan |
| 264 | 1 | |a Los Alamitos, Calif. u.a. |b IEEE Computer Society Press |c 1990 | |
| 300 | |a XV, 759 S. |b graph. Darst. | ||
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| 500 | |a Literaturangaben | ||
| 650 | 4 | |a Vision par ordinateur - Congrès | |
| 650 | 4 | |a Computer vision |v Congresses | |
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Datensatz im Suchindex
| _version_ | 1804119714878717952 |
|---|---|
| adam_text | Table
of
Contents
Preface
..................................................
v
Conference Chairman s Message
....................................
.vi
Conference Committee
.........................................
vii
Reviewer List
.............................................viii
TUESDAY
Session I: Reflection
Shape from Interreflections
.......................................2
S.K. Nayar, K. Ikeuchi, and
T. Kanade
Determining Reflectance Parameters Using Range and Brightness Images
................12
K. Ikeuchi and K. Sato
Session A1
:
image Flow
Computing Optical Flow from an Overconstrained System of Linear Algebraic Equations
........22
M.
Campani
and
A. Verri
Computing Two Motions from Three Frames
..............................27
ЈД.
Bergen, PJ.
Burt,
R.
Hingorani, and S. Peleg
A Model for the Detection of Motion Over Time
............................33
M J.
Black and P. Anandan
Multispectral Constraints for Optical Flow Computation
........................38
V. Markandey and BE. Flinchbaugh
Multiple Light Source Optical Flow
...................................42
RJ.
Woodham
Computing
Spatiotemporal
Surface Flow
................................47
M. Allmen and
СЯ.
Dyer
Session B1
:
Features
Detecting and Localizing Edges Composed of Steps, Peaks, and Roofs
.................52
P.
Perona
and J. Malik
Multiple Widths Yield Reliable Finite Differences
...........................58
MM. Fleck
Detection of Interest Points Using Symmetry
..............................62
D.
Reisfeld,
H.
Wolfson, and Y. Yeshurun
Accurate Comer Detection: An Analytical Study
..............,.............66
R. Deriche and G. Giraudon
Detection of Convex and Concave Discontinuous Points in a Plane Curve
................71
JM. Han
Segmenting Curves into Elliptic Arcs and Straight Lines
........................75
PL. Rosin and G.A.W. West
Session A2: Structure from Motion
Uniqueness, the Minimum Norm Constraint, and Analog Networks for Optical Flow
Along Contours
.............................................80
A.K. Chhabra and T.A. Grogan
Decomposition Theory and Transformations of Visual Directions
............. ......85
F. Bergholm
їх
Shape
and Motion
Without
Depth
....................................91
С.
Tornasi
and T. Kanade
Simple
Method for Computing
3D
Motion and Depth
..........................96
DJ. Heeger
and A. Jepson
Reconstructing
3D
Lines from a Sequence of 2D Projections: Representation and Estimation
......101
Y.-L. Chang and J.K. Aggarwal
Robustness of Correspondence-Based Structure from Motion
.....................106
R. Dutta and MA. Snyder
Session B2: Segmentation and Occlusion
Segmentation by Minimal Description
.................................112
T. Darrell, S. Sclaroff, and A. Pentland
The Integration of Region and Edge-Based Segmentation
.......................117
C.-C. ChuandJK. Aggarwal
Segmentation as the Search for the Best Description of the Image in Terms of Primitives
........121
A. Leonardis, A. Gupta, and R.
Bajcsy
Occlusion Detection in Early Vision
..................................126
P.S.
Toh and AX. Forrest
Perceptual Organization of Occluding Contours
............................133
LM. Williams
The 2.1-D Sketch
...........................................138
M. Nitzberg and D. Mumford
Session II: Programming
Image Interpretation Using Multi-Relational Grammars
........................146
5.
Truvé
Toward the Automatic Generation of Mathematical Morphology Procedures Using
Predicate Logic
............................................156
H. Joo, RM.
Haralick, andL.G. Shapiro
Session III: Image Flow
An Estimation-Theoretic Framework for Image-Flow Computation
...................168
A. Singh
Photometric Motion
..........................................178
A. Pentland
WEDNESDAY
Session IV: Matching
A Locally Adaptive Window for Signal Matching
................... .....190
M. Okutomi and
T. Kanade
A Theory of Image Matching
......................... 200
J.Weng
A Framework for Adaptive Scale Space Tracking Solutions to Problems in Computational Vision
, . 210
G. Whitten
Session V: Motion
Extended Structure and Motion Analysis from Monocular Image Sequences
..............222
N.
Cui,
J.
Weng, and P. Cohen
Direct
Computation of Qualitative
3D
Shape and Motion Invariants
..................230
D.
Weinshall
Segmentation of Optical How and
3D
Data for the Interpretation of Mobile Objects
..........238
Л.
Meygret and M. Thonnat
Session
A3:
Object Recognition
Appearance-Model-Based Representation and Matching of
3-D
Ojects
.................248
J.G. Verly andRL. Delanoy
Qualitative
3-D
Shape Reconstruction Using Distributed Aspect Graph Matching
...........257
SJ. Dickinson, A.P. Pentland, and A.
Rosenfeld
BONSAI:
3D
Object Recognition Using Constrained Search
......................263
P.J. Flynn and A.K. Jain
The Evolution and Testing of a Model-Based Object Recognition System
...............268
JL. Mundy and A.J. Heller
Towards a Computational Theory of Model Based Vision and Perception
...............283
H. Shvaytser
Parallel Structure Recognition with Uncertainty: Coupled Segmentation and Matching
.........287
P.R. Cooper
Session B3: Surface
Temporally Integrated Surface Reconstruction
.............................292
J. Heel
Determining Back-Facing Curved Model Surfaces by Analysis at the Boundary
............296
R3. Fisher
Surface Reconstruction Using Deformable Models with Interior and Boundary Constraints
.......300
Y.-F. Wang andJ.-F. Wang
Representing Surface Curvature Discontinuities on Curved Surfaces
..................304
H.T.
Janáka
and
D.T.L.
Lee
Viewpoint
Invariant
Recovery of Visual Surfaces from Sparse Data
..................309
R.L. Stevenson and E.J. Delp
Surface Shape Reconstruction of an Undulating Transparent Object
..................313
H.
Murase
Session
A4:
Object Recognition
Learning
3D
Object Recognition Strategies
..............................320
B.A. Draper and EM. Riseman
Object Recognition by a Hopfield Neural Network
...........................325
NM. Nasrabadi, W. Li, and C.Y. Choo
Active
3D
Object Models
.......................................329
R.M.
Bolle,
A. Califano, R. Kjeldsen, andR. Mohan
On the Sensitivity of Geometric Hashing
................................334
W.EL. Grimson andD.P. Huttenlocher
Session B4: Recovery
Simultaneous Estimation of Shape and Reflectance Maps from Photmetric Stereo
...........340
HD. Tagare
and
R J.
P. deFigueiredo
A Photometric Invariant and Shape Constraints at Parabolic Points
...................344
L.B. Wolff
Shape from Texture: The Homogeneity Hypothesis
..........................350
C. Marinos
and A. Blake
xi
Local
Spatial
Frequency Analysis of Image Texture
..........................354
J.
Krumm
and
S.A.
Shafer
Session A5: Pose Estimation
Feature Matching for Object Localization in the Presence of Uncertainty
................360
TA.
Cass
Sensitivity of the Pose Refinement Problem to Accurate Estimation of Camera Parameters
.......365
R. Kumar and
AR.
Hanson
Hypothesizing and Testing Geometric Attributes of Image Data
....................370
K. Kanatani
Pose Determination from Line-to-Plane Correspondences: Existence Condition and
Closed-Form Solutions
........................................374
H.H.
Chen
Session B5: Early Vision
About Lacunarity, Some Links Between Fractal and Integral Geometry, and an
Application to Texture Segmentation
.................................380
JL. Vehel
An Approach to Color Constancy Using Multiple Images
.......................385
Λί.
Tsukada and Y. Ohta
Indexing via Color Histograms
.....................................390
MJ. Swain and
D.H.
Bollard
Calculating Surface Reflectance Using a Single-Bounce Model of Mutual Reflection
..........394
M.S. Drew and B.V.
Funt
Vanishing Point Calculation as a Statistical Inference on the Unit Sphere
................400
R.T. Collins and
R.S
.
Weiss
THURSDAY
Session VI: Features
Steerable Filters for Early Vision, Image Analysis, and Wavelet Decomposition
............406
W.T. Freeman and
E.H.
Adelson
Scale Detection and Region Extraction from a Scale-Space Primal Sketch
...............416
T. Lindeberg
and
J.-O. Eklundh
Hypothesis Testing: A Framework for Analysing and Optimising Hough Transform Performance
. . . 427
J. Princen, J. Illingworth, and J. Kittler
Session A6: Motion
Integrated Treatment of Matching and Measurement Errors for Robust Model-Based
Motion Tracking
...........................................,436
D.G. Lowe
3D
Structure from a Monocular Sequence of Images
..........................441
JL. Jezouin and
N.
Ayache
Direct Motion Stereo: Recovery of Observer Motion and Scene Structure
...............446
B.Y. Hayashi and S. Negahdaripour
Direct Recovery of Motion and Shape in the General Case by Fixation
.................451
M. A. Taalebinezhaad
Epicardial Motion and Deformation Estimation from Coronary Artery Bifurcation Points
........456
C.W. Chen and T.S. Huang
Direct Estimation of Deformable Motion Parameters from Range Image Sequence
...........460
Ai. Yamamoto,
P.
Boulanger,
J.-A. Beraldin, M. Rioux, and J. Domey
xu
Session
В6:
Range
Dynamic Stereo with Self-Calibration
.................................466
A.P. Tirumalai, B.G. Schunck, andR.C. Jain
Dynamic Edge Warping: Experiments in Disparity Estimation Under Weak Constraints
........471
KL. Boyer,
D.M.
Wuescher, and S.
Särkar
Cooperative Integration of Multiple Stereo Algorithms
.........................476
M. Watanabe and Y. Ohta
Geometrical Learning from Multiple Stereo Views Through Monocular Based Feature Grouping
. . . .481
E. Thirion and L. Quan
Multiresolution Image Acquisition and Surface Reconstruction
.....................485
S. Das andN. Ahuja
Active Surface Reconstruction by Integrating Focus,
Vergence,
Stereo, and Camera Calibration
.... 489
A.Ĺ.
Abbott andN. Ahuja
Session A7: Motion
Description and Reconstruction from Image Trajectories of Rotational Motion
.............494
H.S. Sawhney, J. Oliensis, andA.R. Hanson
Determining of Camera Rotation from Vanishing Points of Lines on Horizontal Planes
.........499
L. Shigang, S. Tsuji, and
M. ¡mai
Detecting Height from Constrained Motion
..............................503
X. Lin and Z. Zhu
Estimation of Shape, Reflection Coefficients, and
Illuminant
Direction from Image Sequences
.....507
N.
Mukawa
Recovering
3D
Motion and Structure from Stereo and 2D Token Tracking Cooperation
........513
N.
Navab,
R. D
eriche,
and
Ο Ό.
F
augeras
Feed-Forward Recovery of Motion and Structure from a Sequence of 2D-Lines Matches
........517
T. Viéville
and
OD. F
auger as
Session B7: Representation
Compact Image Representation from Multiscale Edges
.........................522
S. Zhong and S.
Mallat
Reconstruction Line Drawings from Wings: The Polygonal Case
....................526
G. Stockman, G. Lee, and S.-W. Chen
Similarity Extraction and Modelling
..................................530
L. Van Gool, J. Wagemans, J. Vandeneede, and A. Oosterlinck
Interesting Patterns for Model-Based Machine Vision
.........................535
/,
Henikoff and L.G
.
Shapiro
Session
VII:
Range and Motion
Omni-Directional Stereo for Making Global Map
...........................540
H. ¡shiguro, M. Yamamoto, and S. Tsuji
Dynamic Integration of Height Maps into a
3-D
World Representation from Range
Image Sequences
...........................................548
M.
Asada,
M.
Kimura, and Y. Shirai
Session A8: Robot Vision
Qualitative Route Scene Description Using Autonomous Landmark Detection
............. 558
J.Y. Zheng, M.
Barth,
and S. Tsuji
XIII
A Bayesian Decision Theoretic Approach for Adaptive Goal-Directed Sensing
.............563
H.-L. Wu and A. Cameron
Region-Based Reconstruction of an Indoor Scene Using an Integration of Active and
Passive Sensing Techniques
......................................568
/.
Hoshino, T. JJ
emura,
and I. Masuda
Understanding Assembly Illustrations in an Assembly Manual Without Any Model of
Mechanical Parts
...........................................573
S. He,
N.
Abe, and T. Kitahashi
Tracking and Grouping
3D
Line Segments
...............................577
Z. Zhang and O.D. Faugeras
Session B8: Snake
Shape from Contour: Straight Homogeneous Generalized Cones
....................582
F. Ulupinar andR. Nevatia
A Finite Element Method Applied to New Active Contour Models and
3D
Reconstruction
from Cross Sections
..........................................587
L.D. Cohen and I. Cohen
A Fast Algorithm for Active Contours
.................................592
DJ.
Williams and M. Shah
FRIDAY
Session
VIII:
Shape
Invariance
-
A New Framework for Vision
...............................598
D.
Forsyth,
J.L.
Mundy,
A. Zisserman, and
С. М.
Brown
Dynamic
3D
Models with Local and Global Deformations: Deformable Superquadrics
.........606
D. Terzopoulos and D. Metaxas
The Dynamic Analysis of Apparent Contours
.............................616
R.
Cipolla
and A. Blake
Session IX: Object Recognition
Object Recognition Using a Feature Search Strategy Generated from a
3-D
Model
...........626
У. Кипо,
Y.
Окатою,
and
S. Okada
Computing the Visual Potential of an Articulated Assembly of Parts
..................636
M. Sallam, J. Stewman, and K. Bowyer
The Effect of Indexing on the Complexity of Object Recognition
....................644
W.EL. Grimson
Session A9: Range
Uncertainty in Interpretation of Range Imagery
............................654
D.M.Chelberg
An Approach to
3-D
Scene Reconstruction from Noisy Binocular Image Sequences
Using Information Fusion
.......................................658
L. Hong and D. Brzakovic
Segmentation of
3-D
Range Images Using Pyramidal Data Structures
.................662
B.
Sabata,
F.
Arman,
and
J.
К.
Aggarwal
MRF Model-Based Segmentation of Range Images
..........................667
A.K. Jain and S.G. Nadabar
A Dynamic Depth Extraction Method
.................................672
T. Mori and M. Yamamoto
xiv
Matching by Analysis of Aerial Images
............................677
.
Rodriguez and J.K. Aggarwal
in B9: Shape
rotation and the Dimensions of Shape Deformation
.......................684
Saund
Uncertainty to Visual Exploration
................................690
Whaite andE.P.
Ferrie
ig
the Rim Appearance
.....................................698
B.
Seules
and
CR.
Dyer
Inertia Frames and the Skeleton Sketch: Finding Salient Frames of Reference
......... 702
?.
Subirana-Vilanova
truction without Discontinuities
................................709
Z.Li
iating Cubic Spline Contours by Minimizing Second Derivative Discontinuity
.........713
Tehrani,
Т.Е.
Weymouth, andB. Schunck
m A
10:
Applications
putational Model for Face Location
...............................718
Govindaraju, S.N. Srihari, andD.B. Sher
ig
Range Images of Human Faces
...............................722
ľ.
Lee
αηάΕ,Ε.
Milios
is of Facial Images Using Physical and Anatomical Models
...................727
Terzopoulos and K. Waters
iration Between Computer Graphics and Computer Vision
...................733
Gagalowicz
>n B10: Hough Techniques
Extensive Reconstruction of Hough Transform
.........................740
Koshimizu and M. Numada
cient Method for Multiple-Circle Detection
...........................744
Cao
and
F
.
Deraví
Transform for Curve Detection
.................................748
Liang
Curve Detection by Temporal Geodesies
.....................,......752
Gutfinger,
R.
Nishimura,
H.
Doi,
and
J. Sklansky
Index
.............................................757
XV
|
| any_adam_object | 1 |
| author_corporate | International Conference on Computer Vision Osaka |
| author_corporate_role | aut |
| author_facet | International Conference on Computer Vision Osaka |
| author_sort | International Conference on Computer Vision Osaka |
| building | Verbundindex |
| bvnumber | BV005500370 |
| callnumber-first | T - Technology |
| callnumber-label | TA1632 |
| callnumber-raw | TA1632 |
| callnumber-search | TA1632 |
| callnumber-sort | TA 41632 |
| callnumber-subject | TA - General and Civil Engineering |
| classification_tum | DAT 760f |
| ctrlnum | (OCoLC)23348783 (DE-599)BVBBV005500370 |
| dewey-full | 621.39/9 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.39/9 |
| dewey-search | 621.39/9 |
| dewey-sort | 3621.39 19 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Conference Proceeding Book |
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| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| id | DE-604.BV005500370 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T16:30:35Z |
| institution | BVB |
| institution_GND | (DE-588)5072712-6 |
| isbn | 0818620579 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-003444404 |
| oclc_num | 23348783 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-83 |
| owner_facet | DE-91G DE-BY-TUM DE-83 |
| physical | XV, 759 S. graph. Darst. |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
| publisher | IEEE Computer Society Press |
| record_format | marc |
| spelling | International Conference on Computer Vision 3 1990 Osaka Verfasser (DE-588)5072712-6 aut Proceedings third International Conference on Computer Vision, December 4 - 7, 1990, Osaka, Japan Los Alamitos, Calif. u.a. IEEE Computer Society Press 1990 XV, 759 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben Vision par ordinateur - Congrès Computer vision Congresses Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Bildverarbeitung (DE-588)4006684-8 s 1\p DE-604 Maschinelles Sehen (DE-588)4129594-8 s 2\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=003444404&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 |
| spellingShingle | Proceedings Vision par ordinateur - Congrès Computer vision Congresses Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4129594-8 (DE-588)4006684-8 (DE-588)1071861417 |
| title | Proceedings |
| title_auth | Proceedings |
| title_exact_search | Proceedings |
| title_full | Proceedings third International Conference on Computer Vision, December 4 - 7, 1990, Osaka, Japan |
| title_fullStr | Proceedings third International Conference on Computer Vision, December 4 - 7, 1990, Osaka, Japan |
| title_full_unstemmed | Proceedings third International Conference on Computer Vision, December 4 - 7, 1990, Osaka, Japan |
| title_short | Proceedings |
| title_sort | proceedings |
| topic | Vision par ordinateur - Congrès Computer vision Congresses Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Vision par ordinateur - Congrès Computer vision Congresses Maschinelles Sehen Bildverarbeitung Konferenzschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003444404&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT internationalconferenceoncomputervisionosaka proceedings |