Proceedings:
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Tagungsbericht Buch |
| Sprache: | Undetermined |
| Veröffentlicht: |
Los Alamitos, Calif.
IEEE Computer Society Press
1996
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Nebent.: 1996 IEEE computer vision and pattern recognition |
| Beschreibung: | XVI, 932 S. Ill., graph. Darst. |
| ISBN: | 0818672595 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV011110152 | ||
| 003 | DE-604 | ||
| 005 | 19970225 | ||
| 007 | t| | ||
| 008 | 961212s1996 xx ad|| |||| 10||| und d | ||
| 020 | |a 0818672595 |9 0-8186-7259-5 | ||
| 035 | |a (OCoLC)634518880 | ||
| 035 | |a (DE-599)BVBBV011110152 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | |a und | ||
| 049 | |a DE-91G |a DE-739 |a DE-83 | ||
| 084 | |a ST 330 |0 (DE-625)143663: |2 rvk | ||
| 084 | |a DAT 760f |2 stub | ||
| 084 | |a DAT 770f |2 stub | ||
| 111 | 2 | |a Conference on Computer Vision and Pattern Recognition |n 15 |d 1996 |c San Francisco, Calif. |j Verfasser |0 (DE-588)5193368-8 |4 aut | |
| 245 | 1 | 0 | |a Proceedings |c 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 18 - 20, 1996 San Francisco, California |
| 246 | 1 | 3 | |a Nineteen hundred and ninety-six IEEE computer vision and pattern recognition |
| 264 | 1 | |a Los Alamitos, Calif. |b IEEE Computer Society Press |c 1996 | |
| 300 | |a XVI, 932 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Nebent.: 1996 IEEE computer vision and pattern recognition | ||
| 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 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 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 |
| 650 | 0 | 7 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 1996 |z San Francisco Calif. |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=007443709&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 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 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-007443709 | |
Datensatz im Suchindex
| _version_ | 1820868194845327360 |
|---|---|
| adam_text |
Table
of
Contents
Chair's
Introduction
to the CVPR'96 Proceedings
.xiv
Organizing Committee
.xv
Reviewers
.xvi
Progress in Machine Vision for Motion Control
E.D.
Dickmanns, Universität der Bundeswehr, München,
Germany
Bayesian Image
Restoration and Segmentation by
Constrained Optimization
.1
S.Z.
Li,
KL. Chan, and
H. Wang
Sparse Representations for Image Decomposition with Occlusions
.7
M. Donahue, D.
Geiger,
R.
Hummel, and T.-L. Liu
Extracting Salient Curves from Images: An Analysis of the Saliency Network
.13
T.D. Alter and R. Basri
Blurring Strategies for Image Segmentation Using a Multiscale
Linking Model
.21
K.L. Vincken, W.J. Niessen, and M.A. Viergever
Space Scale Localization, Blur, and Contour-Based Image Coding
.27
J.H. Elder and
S.W. Zucker
ЩЕі0^
' . '
:;;:¿
;';ЭШ8ЙЕА·
Recognizing
3D
Objects by Generating Random Actions
.35
S.
Herbin
Viewpoint Variation in the Noise Sensitivity of Pose Estimation
.41
C.B.
Madsen
Gauging Relational Consistency and Correcting Structural Errors
.47
R.C. Wilson and E.R. Hancock
Eigenfeatures
for Planar Pose Measurement of Partially Occluded Objects
.55
J.
Krumm
Finding Corresponding Points Based on Bayesian
Triangulation.61
A.S.
Bedekar
and
R.M.
Horaliek
Session
TNI: Human and Articulated Motion
¿
Active Face Tracking and Pose Estimation in an Interactive Room
.67
T. Darrell, B. Moghaddam, and A.P. Pentland
3-D
Model-Based Tracking of Humans in Action: A Multi-View Approach
.73
D.M.
Gavrila
and L.S. Davis
Model-Based Estimation of
3D
Human Motion with Occlusion Based on
Active
Multi-
Viewpoint Selection
.81
I.A.
Kakadiaris and D. Metaxas
Hand Segmentation Using Learning-Based Prediction and Verification
for Hand Sign Recognition
.88
Y.
Cui
and J.J. Weng
Further Constraints on Visual Articulated Motions
.94
D. Sinclair and K. Zesar
SessionTN2: Target Recognition and Applications
і
ΐ
*
Invariant Histograms and Deformable Template Matching for
SAR
Target Recognition
.100
K. Ikeuchi, T. Shakunaga, M.D. Wheeler, and T. Yamazaki
Modeling Clutter and Context for Target Detection in Infrared Images
.106
S. Rong and B. Bhanu
Multi-Stage Target Recognition Using Modular Vector Quantizers and
Multilayer Perceptions
.114
L.A. Chan,
N.M.
Nasrabadi, and V. Mirelli
On a Spectral Attentional Mechanism
.120
P.
Burlino,
В.
Lin, and
R.
Chellappa
Polarization Phase-Based Method for Material Classification and
Object Recognition in Computer Vision
.128
Я.
Chen and L.B. Wolff
Session TAl: Contour
Recbástruéttoeg^
A Common Framework for Curve Evolution, Segmentation and
Anisotropie
Diffusion
.136
J. Shah
Comparison of Edge Detectors: A Methodology and Initial Study
.143
M. Heath, S.
Särkar, T. Sanocki,
and
K. Bowyer
A Hierarchical Approach to High Resolution Edge Contour Reconstruction
.149
S. Casadei and S.K. Mitter
Visual Organization for Figure/Ground Separation
.155
D.
Geiger,
К.
Kumaran, and L.
Parida
Local Parallel Computation of Stochastic Completion Fields
.161
L.R. Williams and
D.W.
Jacobs
Session TA2: Panel
1:
Education for Computer Vision Organizer
; "
Organizers: George Stockman, Michigan State University and
Kevin Boyer, University of South Florida
Invited Talk
Human Assisted Computer Vision and Artificial Intelligence
—
Why Not?
Dragutin
Petkouic, IBM
Almadén
Research Center
Session WMl: Active and Real-Time Vision
Ц
s
Controlled Camera Motions for Scene Reconstruction and Exploration
.169
E.
Marchand
and F. Chaumette
Optimal Servoing for Active Foveated Vision
.177
HP. Rotstein and E. Rivlin
VI
Calibration of a Foveated Wide-Angle Lens on an Active Vision Head
.183
L. Berthouze, S. Rougeaux, F. Chavand, and Y. Kuniyoshi
Incremental Focus of Attention for Robust Visual Tracking
.189
K. Toyama and G.D.
Hager
A Stereo Machine for Video-Rate Dense Depth Mapping and Its
New Applications
.196
T. Kanade,
A. Yoshida, K.
Oda,
H.
Капо,
and
M. Tanaka
Session WM2: Face Detection and Recognition
Neural Network-Based Face Detection
.203
H.A.
Rowley, S.
Baluja,
and
T. Kanade
Feature-Based Face Recognition Using Mixture-Distance
.209
I.J. Cox, J. Ghosn, andP.N. Yianilos
Convolutional Neural Networks for Face Recognition
.217
S. Lawrence,
C.Ĺ.
Giles, and
A.C.
Tsoi
Recognition of Planar Object Classes
.223
M.C. Burl and P.
Perona
The Integration of Optical Flow and Deformable Models with
Applications to Human Face Shape and Motion Estimation
.231
D,
DeCarlo
and D. Metaxas
Session WN1: Matching and Calibration
Graph Matching by Graduated Assignment
.239
S. Gold and A. Rangarajan
Non-Rigid Matching Using Demons
.245
J.-P. Thirion
Determining Correspondences and Rigid Motion of
3-D
Point Sets with
Missing Data
.252
X. Wang, Y-Q. Cheng, R.T. Collins, and A.R. Hanson
Structure from Multiple 2D
Affine
Correspondences without
Camera Calibration
.258
H. Schweitzer and R. Krishnan
From
Projective
to Euclidean Reconstruction
.264
F. Devernay and O. Faugeras
Session WN2: Shape Representation
What is the Set of Images of an Object Under All Possible
Lighting Conditions?
.270
P.N. Belhumeur
and D.J. Kriegman
Inference of Segmented, Volumetric Shape from Three Intensity Images
.278
P. Havaldar and G. Medioni
Mirror and Point Symmetry Under Perspective Skewing
.285
L. Van Gool, T. Moons, and M. Proesmans
Global Models with Parametric Offsets as Applied to Cardiac Motion Recovery
.293
T. O'Donnell, T. Boult, and A. Gupta
MUSE: Robust Surface Fitting Using Unbiased Scale Estimates
.300
J.V. Miller and
C.V.
Stewart
VII
Session
WAI:
Motion
Estimation and Structuré
írom
Motion
Skin and Bones: Multi-Layer, Locally
Affine,
Optical Flow and
Regularization with Transparency
.307
S.X. Ju, M.J. Black, and
A.D.
Jepson
Comparison of Approaches to
Egomotion
Computation
.315
T.Y.
Tian,
С.
Tornasi,
and
D.J.
Heeger
A Unified Mixture Framework for Motion Segmentation: Incorporating
Spatial Coherence and Estimating the Number of Models
.321
Y. Weiss and
E.H.
Adelson
Structure and Motion of Curved
3D
Objects from Monocular Silhouettes
.327
B. Vijayakumar, D.J. Kriegman, and J. Ponce
Structure from Linear or Planar Motions
.335
J. Oliensis
Session WA2: Panel
2:
Industry Need» for: Computer Vision
'Recognition''
■ '■'■'■ ■ ■ :■ ' ' '. / ' ■■':■■
Organizer: Bruce Flinchbaugh, Texas Instruments
High Resolution PET and High Field Magnetic Resonance in Study of
Human Physiology and Disease
Thomas F. Budinger, University of California and Lawrence Berkeley Laboratory
Session RMl: Stereo
. ■ :. ■
:-
. ■■■ ■ ■■.■■;.
O-
■■;>■!;■■ ■ ·
"n::
'і&'Шн-ііШУМ,
Stereo Matching with Non-Linear Diffusion
.343
D.
Scharstein
and R. Szeliski
Ordinal Measures for Visual Correspondence
.351
D.N. Bhat and S.K. Nayar
A Space-Sweep Approach to True Multi-Image Matching
.358
R.T. Collins
3-D
Scene Data Recovery Using Omnidirectional Multibaseline Stereo
.364
S.B. Kang and R. Szeliski
Occlusion Detectable Stereo
—
Occlusion Patterns in Camera Matrix
.371
Y. Nakamura, T. Matsuura, K. Satoh, and Y. Ohta
Session RM2: Systems and Integration
Panoramic Image Acquisition
.379
A. Krishnan and
N.
Ahuja
Runway Obstacle Detection by Controlled
Spatiotemporal
Image Flow Disparity
.385
S. Sull and B. Sridhar
Combination of Multiple Classifiers Using Local Accuracy Estimates
.391
K. Woods, W.P. Kegelmeyer, Jr., and K. Bowyer
Efficient Image Gradient-Based Object Localisation and Recognition
.397
T.N. Tan, G.D. Sullivan, and K.D. Baker
Real-Time Tracking of Image Regions with Changes in Geometry
and Illumination
.403
G.D.
Hager
and
P.N. Belhumeur
Vill
Session RNl: Texture and Shading
Towards Accurate Recovery of Shape from Shading Under Diffuse Lighting
.411
A.J. Stewart and M.S.
Langer
Illumination and Geometry Invariant Recognition of Texture in Color Images
.419
L. Wang and G. Healey
Texture Features and Learning Similarity
.425
W.Y. Ma and B.S. Manjunath
Minimal Operator Set for Passive Depth from
Defocus
.431
M.
Watanabe and S.K. Nayar
Session RN2: Image Database and Document Analysis
Video Browsing Using Edges and Motion
.439
R. Zabih, J. Miller, and K. Mai
Interactive Learning with a "Society of Models"
.447
T.P
Minka
and R. W.
Picard
Dealing with Occlusions in the
Eigenspace
Approach
.453
A. Leonardis and H.
Bischof
Recognition of Handwritten Phrases as Applied to Street Name Images
.459
G. Kim and V. Govindaraju
Session
RAÍ:
Feature Extraction and Detection
Edge Detection and Ridge Detection with Automatic Scale Selection
.465
T. Lindeberg
Parametric Feature Detection
.471
S.K. Nayar, S. Baker, and H.
Murase
Quantitative Measures of Change Based on Feature Organization:
Eigenvalues and Eigenvectors
.478
S.
Sarkar
and K.L. Boyer
Randomness and Geometric Figures in Computer Vision
.484
X.
Fennec
and
N.
Ayache
Lie Groups, Space-Variant Fourier Analysis and the Exponential
Chirp Transform
.492
G. Bonmassar and E.L. Schwartz
Session RA2: Panel
3:
Content-Based Retrieval: Research Issues and Directions
Organizer: Rosalind
Picard,
Media Lab, Massachusetts Institute of Technology
Session TP1: Shape Representation
SiteCity: A Semi-Automated Site Modelling System
.499
Y. Hsieh
A Shock Grammar for Recognition
.507
K. Siddiqi and B.B. Kimia
New, Faster, More Controlled Fitting of Implicit Polynomial 2D Curves
and
3D
Surfaces to Data
.514
Z. Lei and D.B. Cooper
Affine
Invariant Detection: Edges, Active Contours, and Segments
.520
P.J. Olver, G. Sapiro, and A.
Tannenbaum
їх
On
3D
Shape Similarity
.526
H-Y. Shum, M.
Hebert,
and K. Ikeuchi
Session TP2: Pattern Recognition
Subpixel
Image Registration by Estimating the Polyphase Decomposition
of Cross Power Spectrum
.532
H. Shekarforoush, M. Berthod, and J. Zerubia
Closed-Loop Object Recognition Using Reinforcement Learning
.538
J. Peng and B. Bhanu
Pattern Rejection
.544
S. Baker and S.K. Nayar
A Robust Clustering Algorithm Based on Competitive Agglomeration and
Soft Rejection of Outliers
.550
H. Frigui and R. Krishnapuram
Extraction of Maximal Inscribed Disks from Discrete Euclidean
Distance Maps
.556
Y. Ge
and J.M. Fitzpatrick
Constrained Phase Congruency: Simultaneous Detection of Interest
Points and of Their Scales
.562
D.
Reisfeld
Nonlinear Shape Restoration for Document Images
.568
Y. Weng and Q. Zhu
Complexity Analysis of RBF Networks for Pattern Recognition
.574
L.
Sardo
and J.
Kittler
Real-Time Extraction of Connected Component in
3-D
Sonar Range Images
.580
P.G. Auran and K.E. Malvig
Session
ТРЗ:
Applications
A Framework for Recognizing a Facial Image from a Police Sketch
.586
R.G.
Uhi,
Jr. and
N.
da
Vitoria
Lobo
Recovery of Global Nonrigid Motion
-
A Model Based Approach without
Point Correspondences
.594
S. Kumar and D. Goldgof
Interpreting and Representing Tabular Documents
.600
J.F. Arias, A. Chhabra, and V. Misra
Novel Active-Vision-Based Visual-Threat-Cue for Autonomous Navigation Tasks
.606
S.R. Kundur and D. Raviu
Competitive Mixture of Deformable Models for Pattern Classification
.613
K-W. Cheung, D-Y. Yeung, and R.T. Chin
A Fast and Flexible Statistical Method for Text Extraction in Document Pages
.619
P.
Parodi
and G. Piccioli
The Use of Hybrid Models to Recover Cardiac Wall Motion in Tagged
MR Images
.625
G. Funka-Lea and A. Gupta
Word Spotting: A New Approach to Indexing Handwriting
.631
R. Manmatha, C. Han, and E.M. Riseman
Bayesian Face Recognition Using
Deformabi
e
Intensity Surfaces
.638
B.
Moghaddam,
C. Nästar,
and A. Pentland
Similarity Queries in Image Databases
.646
S.
Santini
and R. Jain
Session WP1: Edge, Contour and Surface Detection and Recovery
Isotropie
Gradient Estimation
.652
J. Merron and M. Brady
Isotropie
Processing for Gradient Estimation
.660
D. Ziou and
S. Wang
Global Minimum for Active Contour Models
:
A Minimum Path Approach
.666
L.D. Cohen and R.
Kimmel
Convexity Analysis of Active Contour Problems
.674
C. Davatzikos and J.L. Prince
Vector-Valued Active Contours
.680
G. Sapiro
FRAME: Filters, Random Fields and Maximum Entropy
-
Towards a
Unified Theory for Texture Modeling
.686
S
С.
Zhu,
Y. Wu, and D. Mumford
Geometric and Photometric Constraints
for Surface
Recovery
.694
J.
Lu
and J. Little
Session WP2: Active and Real-Time Vision
Autonomous Recognition: Driven by Ambiguity
.701
F.G. Callari and F.P.
Ferrie
Active Intrinsic Calibration Using Vanishing Points
.708
K. Daniilidis and J. Ernst
Target Detection in Foveal ATR Systems
.714
S. Ghosal and D.C. McKee
An MIMD Computing Platform for a Hierarchical Foveal Machine
Vision System
.720
F.
Du,
A. Izatt, and
С
Bandera
Attention Control for Robot Vision
.726
С
-F.
Westin,
С
-J.
Westelius, H.
Knutsson,
and
G. Granlund
Gesture Recognition Using the Perseus Architecture
.734
R.E. Kahn,
M.J. Swain, P.N. Prokopowicz, and R.J. Firby
Session WP3: Physics and Geometry for Low-Level Vision
Physics-Based Segmentation: Moving Beyond Color
.742
B.A. Maxwell and
S.A.
Shafer
Using Physics-Based Invariant Representations for the Recognition of
Regions in Multispectral Satellite Images
.750
G. Healey and A. Jain
Recovering
Affine
Motion and
Defocus
Blur Simultaneously
.756
Z. Myles and
N.
da
Vitoria
Lobo
Яг
-Space Representation of Images and Generalized Edge Detector
.764
M.
Gökmen
and A.K. Jain
xi
Using a Spectral Reflectance Model for the Illumination-Invariant
Recognition of Local Image Structure
.770
D. Slater and G. Healey
Epipolar
Geometry and Linear Subspace Methods: A New Approach to
Weak Calibration
.776
J. Ponce and Y. Gene
Shadows and Shading Flow Fields
.782
P. Breton and
S.W. Zucker
Affine
Structure and Photometry
.790
R. Rosenholtz and J.J. Koenderink
. · ' ■ ': , ■(
:,дї
-.-,'; ; ■ '
^"
Robust Recovery of Camera Rotation from Three Frames
.796
B. Rousso, S. Avidan, A. Shashua, and S. Peleg
A Factorization Method for
Affine
Structure from Line Correspondences
.803
L. Quan and
T. Kanade
Canonical Decomposition of Steerable Functions
.809
Y. Hel-Or and
P.C.
Teo
Motion from Fixation
.817
S. Soatto and P.
Perona
Reducing "Structure from Motion"
.825
S. Soatto and P.
Perona
Multilinear Constraints in the Infinitesimal Case
.833
K. Åström
and A. Heyden
Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields
.839
F.G. Meyer, R.T. Constable, A.J. Sinusas, and J.S. Duncan
Factorization Methods for
Projective
Structure and Motion
.845
B. Triggs
Stereo Vision for View Synthesis
.852
D.
Scharstein
y$ş0
ą
%Щ$
W
Rose Recovery
Closest Point Search in High Dimensions
.859
S.A.
Nene
and S.K. Nayar
3-D
Object Pose Estimation by Shading and Edge Data Fusion
—
Stimulating Virtual Manipulation on Mental Images
.866
Y. Nomura, D. Zhang, Y. Sakaida, and S.
Fujii
Combining Greyvalue Invariants with Local Constraints for Object Recognition
.872
C.
Schmid
and R. Mohr
Recognizing Three-Dimensional Objects by Comparing Two-Dimensional Images
.878
D.P. Huttenlocher and L.M. Lorigo
Recovering the Viewing Parameters of Random, Translated and Noisy
Projections of Asymmetric Objects
.885
P.D.
Lauren and
N.
Nandhakumar
Recognition via Consensus of Local Moments of Brightness and Orientation
.891
J.B. Burns
xii
Coregistration of Range
and Optical Images Using Coplanarity and
Orientation Constraints
.899
A.N.A. Schwickerath and J.R.
Beveridge
Connectionist Networks for Feature Indexing and Object Recognition
.907
CF.
Olson
Indexing to
3D
Model Aspects Using 2D Contour Features
.913
J-L. Chen and G.C. Stockman
Feature Correspondence by Interleaving Shape and Texture Computations
.921
D. Beymer
Author Index
.929
xiii |
| any_adam_object | 1 |
| author_corporate | Conference on Computer Vision and Pattern Recognition San Francisco, Calif |
| author_corporate_role | aut |
| author_facet | Conference on Computer Vision and Pattern Recognition San Francisco, Calif |
| author_sort | Conference on Computer Vision and Pattern Recognition San Francisco, Calif |
| building | Verbundindex |
| bvnumber | BV011110152 |
| classification_rvk | ST 330 |
| classification_tum | DAT 760f DAT 770f |
| ctrlnum | (OCoLC)634518880 (DE-599)BVBBV011110152 |
| discipline | Informatik |
| format | Conference Proceeding Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV011110152</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">19970225</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">961212s1996 xx ad|| |||| 10||| und d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0818672595</subfield><subfield code="9">0-8186-7259-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)634518880</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV011110152</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=" " ind2=" "><subfield code="a">und</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 760f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 770f</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="n">15</subfield><subfield code="d">1996</subfield><subfield code="c">San Francisco, Calif.</subfield><subfield code="j">Verfasser</subfield><subfield code="0">(DE-588)5193368-8</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Proceedings</subfield><subfield code="c">1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 18 - 20, 1996 San Francisco, California</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Nineteen hundred and ninety-six IEEE computer vision and pattern recognition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Los Alamitos, Calif.</subfield><subfield code="b">IEEE Computer Society Press</subfield><subfield code="c">1996</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XVI, 932 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.: 1996 IEEE computer vision and pattern recognition</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">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">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="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="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">1996</subfield><subfield code="z">San Francisco Calif.</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=007443709&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</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><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-007443709</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift 1996 San Francisco Calif. gnd-content |
| genre_facet | Konferenzschrift 1996 San Francisco Calif. |
| id | DE-604.BV011110152 |
| illustrated | Illustrated |
| indexdate | 2025-01-10T13:20:30Z |
| institution | BVB |
| institution_GND | (DE-588)5193368-8 |
| isbn | 0818672595 |
| language | Undetermined |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007443709 |
| oclc_num | 634518880 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-739 DE-83 |
| owner_facet | DE-91G DE-BY-TUM DE-739 DE-83 |
| physical | XVI, 932 S. Ill., graph. Darst. |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| publisher | IEEE Computer Society Press |
| record_format | marc |
| spelling | Conference on Computer Vision and Pattern Recognition 15 1996 San Francisco, Calif. Verfasser (DE-588)5193368-8 aut Proceedings 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 18 - 20, 1996 San Francisco, California Nineteen hundred and ninety-six IEEE computer vision and pattern recognition Los Alamitos, Calif. IEEE Computer Society Press 1996 XVI, 932 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Nebent.: 1996 IEEE computer vision and pattern recognition Computerkunst (DE-588)4010453-9 gnd rswk-swf Bildverstehen (DE-588)4202022-0 gnd rswk-swf Datennetz (DE-588)4011130-1 gnd rswk-swf Telekommunikationsnetz (DE-588)4133586-7 gnd rswk-swf Kunst (DE-588)4114333-4 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Mikrocomputer (DE-588)4039206-5 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1996 San Francisco Calif. 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=007443709&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 Computerkunst (DE-588)4010453-9 gnd Bildverstehen (DE-588)4202022-0 gnd Datennetz (DE-588)4011130-1 gnd Telekommunikationsnetz (DE-588)4133586-7 gnd Kunst (DE-588)4114333-4 gnd Mustererkennung (DE-588)4040936-3 gnd Mikrocomputer (DE-588)4039206-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4010453-9 (DE-588)4202022-0 (DE-588)4011130-1 (DE-588)4133586-7 (DE-588)4114333-4 (DE-588)4040936-3 (DE-588)4039206-5 (DE-588)4129594-8 (DE-588)1071861417 |
| title | Proceedings |
| title_alt | Nineteen hundred and ninety-six IEEE computer vision and pattern recognition |
| title_auth | Proceedings |
| title_exact_search | Proceedings |
| title_full | Proceedings 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 18 - 20, 1996 San Francisco, California |
| title_fullStr | Proceedings 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 18 - 20, 1996 San Francisco, California |
| title_full_unstemmed | Proceedings 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 18 - 20, 1996 San Francisco, California |
| title_short | Proceedings |
| title_sort | proceedings |
| topic | Computerkunst (DE-588)4010453-9 gnd Bildverstehen (DE-588)4202022-0 gnd Datennetz (DE-588)4011130-1 gnd Telekommunikationsnetz (DE-588)4133586-7 gnd Kunst (DE-588)4114333-4 gnd Mustererkennung (DE-588)4040936-3 gnd Mikrocomputer (DE-588)4039206-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Computerkunst Bildverstehen Datennetz Telekommunikationsnetz Kunst Mustererkennung Mikrocomputer Maschinelles Sehen Konferenzschrift 1996 San Francisco Calif. |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007443709&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT conferenceoncomputervisionandpatternrecognitionsanfranciscocalif proceedings AT conferenceoncomputervisionandpatternrecognitionsanfranciscocalif nineteenhundredandninetysixieeecomputervisionandpatternrecognition |