Proceedings:
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Alamitos, Calif. u.a.
IEEE Computer Soc. Press
1991
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XVI, 761 S. graph. Darst. |
| ISBN: | 0818621486 |
Internformat
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| 111 | 2 | |a Conference on Computer Vision and Pattern Recognition |d 1991 |j Verfasser |0 (DE-588)5056671-4 |4 aut | |
| 245 | 1 | 0 | |a Proceedings |c 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Lahaina, Maui, Hawaii, June 3 - 6, 1991 |
| 246 | 1 | 3 | |a Computer vision and pattern recognition |
| 264 | 1 | |a Los Alamitos, Calif. u.a. |b IEEE Computer Soc. Press |c 1991 | |
| 300 | |a XVI, 761 S. |b graph. Darst. | ||
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| 500 | |a Literaturangaben | ||
| 650 | 4 | |a Computer vision |v Congresses | |
| 650 | 4 | |a Pattern recognition systems |v Congresses | |
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Datensatz im Suchindex
| _version_ | 1820868093128212480 |
|---|---|
| adam_text |
Table
of Contents
Foreword
.
,ν
Program
Committee
.
,
.
vi
list of Auxiliary Reviewers
.,.viii
Invited Lecture
Teleological Computer Graphics Modeling
.2
Al Barr,
CaWech (Computer Graphics and Animation)
Session Papers
Object Recognition I (2-D)
Model Group Indexing for Recognition
. 4
D.T. Clemens and D.W.Jacobs
Planar Shape Classification Using ffidden Markov Model
. ,.10
Y.HeandA.Kundu
Pose Clustering on Constraints for Object Recognition
.16
OS. Ckakravarthy andR. Kasturi
On the
Bror
Analysis of "Geometric Hashing"
.22
Y. Lamdan andHJ. Wolf son
Multidimensional Indexing for Recognizing Visual Shapes
.28
Λ.
Califano andR. Mohan
Shape Representation and Recognition from Curvature
.35
G.
Dudek
and
J
K. Tsotsos
Stereo and Surface Reconstruction
Surface Approximation Using Weighted Splines
.44
S.S.
SinhaandB.G. Schunck
Use of Monocular Groupings and Occlusion Analysis in a ffierarchical Stereo System
.
SO
R.CX. Chung andR. Nevada
Curve-Based
Stereo: Figurai
Continuity and Curvature.
. .57
Ł.
Robert and
OD. Faugeras
A Multiple-Baseline Stereo
. 63
M. Okutom
and
T. Kanade
Sampling and Reconstruction with Adaptive Meshes
. .70
D. Terzopoulos and M. Vasilescu
Stereopsis and Image Registration from Extended Edge Features in the Absence of
Camera Pose Information
. 76
N.
M. Vaidya and KJL. Boyer
Motion
Ł
General
Tlie
Application of a Hybrid Tracking Algorithm to Motion Analysis
. £4
MJ. Fletcher, K. Warwick and
R
J. MUchell
AlgorMiinic Characterization of Vehicle Trajectories from Image Sequences by
Motion Verbs
. 90
D.
Kotter,
N. Heime
má
H-H.
Nmei
їх
Using
Stereomotion
to Track Binocular Targets
.96
МЯМ.
Jenkin
Establishing Motion Correspondence
.
ЮЗ
K. Rangarajan and M. Shah
The Camera Stability Problem and Dynamic Stereo Vision
.109
S. Moezzi, SJL.
Bortlett
and
TE. Weymouth
TheP-Field: A Computational Model for Binocular Motion Processing
.115
P. BalasubramanyamahdM. A. Snyder
Calibration
Finding the Aspect-Ratio of an Imaging System,
.,122
A. Barn-Hashemi
Camera Models Determination Using Multiple Frames
.127
H.-J. Lee and C.-T. Deng
Two Plane Camera Calibration: A Unified Model
.133
G-.Q. Wei and
S J).
Ma
Relative Positioning from Geometric Invariants
. .139
R. Mohr andL. Morin
A Screw Motion Approach to Uniqueness Analysis of Head-Eye Geometry
.145
H
Л.
Chen
Comuputing Viewpoints That Satisfy Optical Constraints
.152
K. TarabanisandRJ.
Тѕш
Motion
Π
(Navigation)
Real-time Generation of Environmental Map and Obstacle Avoidance Using Omnidirectional
Image Sensor with Conic Mirror
. . 160
Y.YagiandM.Yachida
Multiframe-Based Identification of Mobile Components of a Scene with a Moving Camera
. 166
E.
François
and P. Bouthemy
Qualitative Detection of Motion by a Moving Observer
. .173
R.C. Nelson
Identification and
3D
Description of "Shallow" Environmental Structure
in a Sequence of Images
. 179
H.S. Sawhney andAJR. Hanson
Dynamic Stereo in Visual Navigation
. .186
M
.
Tistareìli, E. Grosso and
G.
Sanãni
Low-Level
Visim
I (Edge Detection)
Adaptive Estimation of Hysteresis Thresholds
.196
ЕЛ.
Hancock and J.Kittler
Segmentation By Nonlinear Diffusion
. 202
J.Shah
Discontinuity Detection and Thresholding- A Stochastic Approach
. 208
D. Lee and G. W. WasiikowsM
Edge Detection Using Refined Regularization
.,.215
M.GõktnenandC.-C.U
Deformable Kernels for Early Vision
. .222
P.
Perona
'.".
Invited Lecture
Remote-Sensing Issues For Intelligent Underwater Systems
. .230
W. Kenneth Stewart, Deep Submergence Lab, Woods Hole
Object Recognition
Π
(3-D)
Closed-Form Solutions for Physically-Based
Sną»
Modeling and Recognition
.238
S. SclaroffandA. Pentland
Structural Hashing: EfficientThree Dimensional Object Recognition
.244
F. Stein and G. Medioni
Generic Recognition Through Qualitative Reasoning About
3-D
Shape and
Object Function
. 251
L. Stark andK. Bowyer
Model Based Recognition Using Pruned Correspondence Search
. .257
TM.Breuel
Fast
Affine
Point Matching: An Output Sensitive Method
. . 263
D
Jř.
Huttenlocher
Optimal Matching of Planar Models in
3D
Scenes
.269
D.W.
Jacobs
Optical Flow
Estimation of Discontinuous Displacement Vector Fields with the Minimum
Description Length Criterion
.276
J.Dengler
Temporal Slice Analysis of Image Sequences
.283
S.-L. Peng
A Unified Computational Theory for Motion Transparency and Motion Boundaries Based on
Eigenenergy Analysis
. 289
M. Shizawa andK.
Mase
Robust Dynamic Motion Estimation Over Time
.296
MJ. Black and P. Anandan
Long-Range
Spatiotemporal
Motion Understanding Using
Spatiotemporal
Flow Curves
. . 303
M. Allmen and
СЯ.
Dyer
Probability Distributions of Optical Flow
. .310
EJ>. SimoncelH,
ЕЛ.
Adelson
and
DJ. Heeger
Non-Rigid Motion
Measurement of Non-rigid Motion Using Contour Shape Descriptors
.318
J.S. Duncan, RL.
Owen, L.H.
Staib, and P. Anandan
Recovery of Non-Rigid Motion and Structure
.325
B. Horowitz and A. Pentland
Motion Analysis and Epicardial Deformation Estimation from Angiography Data
.331
SX
Mishra, D3. Goldgof, and T.S. Huang
Constrained DeformableSuperquadrics and Nonrigid Motion Tracking.
.337
D. MetaxasandD. Terzopoidos
Using
Collinear
Points to Compute
Egomotion
and Detect Nonrigidity.
. 344
N.
da Vitoria
Lobo
and
JK. Tsotsos
Texture
A Linear Algorithm for Computing the Phase Portraits of Oriented
Textores.
.352
С.
-F.
Shu,
R.
Jain and
F. Quek
χι
A Computational Approach to Boundary Detection
.358
B.S. Manjunath andR. Chellappa
A Multi-Channel Filtering Approach to Texture Segmentation
. 364
F. Farrokfmia and A.K. Jain
Maikov/Gibbs Texture Modeling: Aura Matrices and Temperature Effects
. 371
R.W.
Picard,
IM. Elfadel
and AT. Pentland
Fractal Probability Functions: An Application to Image Analysis
.378
J. Levy Vehel
Active Vision and Perceptual Grouping
A Quantitative Approach to Camera Fixation
.386
D. Raviv
A Dynamic System for Object Description and Correspondence
.393
B.
Parvin
and G.
Mediom
Partial Implementation of the Fixation Method on Real Images: Direct Recovery of
Motion and Shape in the General Case
.400
MA. Tacdebinezhaad
Finding Convex Edge Groupings in an Image
.406
DJP. Huttenlocher and
P.C.
Wayner
Active Camera Controlling for Manipulation
.413
J.Y. Zheng, F. Kishino, Q. Chen, and S. Tsuji
Low-Level Vision II: Pattern Recognition and Segmentation
Map Representations and Coding-Based Priors for Segmentation
.420
K. Keeler
Fuzzy Algorithms to Find Linear and Planar Clusters and Their Applications
.426
R. Krishnapuram and C.-P. Freg
Syntactic Pattern Classification by Branch and Bound Search
.432
A.Y. Commke
anã
J J.
Hull
Pattern Recognition with New Class Discovery
.438
I. Chang and MM. Loew
Topotogic^ Segmentation of Discrete Surfaces
.444
G. Malandain,
G. Bertrand
andN. Ayache
Invited Lecture
Small Autonomous Mobile Robots: Sensing And Action
. 452
Rodney Brooks,
МТГ
Artificial Intelligence Lab.
Object Recognition
Ш
(General)
Recognition and Semi-Differential Invariants
.454
L. Van Gool, P. Kempenaers and A. Oosterlinek
Articulated Object Recognition, or How to Generalize the Generalized Hough Transform
.461
A. Beinglass and HJ. Wolf son
Shape Representation and Image Segmentation Using Deformable Surfeces
. .467
H. DeUngette, M.
Hebert
mid K. Ikeuchi
Efficiently Using Invariant Theory for Model-based Matching
.,. 473
P.C.
Wayner
Modeling Generic Polyhedra with Constraint
.479
V.-D. Nguyen, JJL. Mundy andD. Kapur
MAP Model Matching
.486
WM.WeUsJII
Xli
Architecture
and Algorithms
Robust Vectorization Using Graph-Based Thinning and Reliability-Based
Line Approximation
. 494
S. Suzuki andN. Ueda
Integration of Vision Modules: A Game-Theoretic Framework
.501
HJ. Bozma and J.S. Duncan
Computer Vision Hardware Using the Radon Transform
.508
WB. Baringer, R.W. Brodersen andD. Petkovic
Parallel Algorithms and Architectures for Discrete Relaxation Technique
.514
W.-M. Lin and FX
Prasárna
Kumar
Exact Euclidean Distance Function by Chain Propagations
.520
L. Vincent
An Image Pyramid with Morphological Operators
.526
A. Morales andR. Acharya
Shape From Shading
Sources from Shading
.534
Y. Yang and A. Yuille
Estimation of
Illuminant
Direction, Albedo, and Shape from Shading
. .540
Q. Zheng andR. Chellappa
Boundary Element Methods for Solving
Poisson
Equations in Computer Vision Problems
. 546
G. GuandMA. Gennert
The Direct Computation of Height from Shading
.552
Y.G.
Ledere
αηάΑ,Ρ.
Bobick
Shape from Shading as a Partially Well-Constrained Problem
.559
ƒ.
Oliensis
Pose Estimation and Face Recognition
Pose Estimation of Jointed Structures
.566
T, Shakunaga
Classification of Facial Features for Recognition
.573
MA. Shackleton and WJ. Welsh
Determining
3-D
Object Pose Using the Complex Extended Gaussian Image
.580
SJS. Kong ctndK. Ikeuchi
Face Recognition Using Eigenfaces
. .586
MA. Turk andAJ?. Pentland
Analysis and Solutions of The Three Point Perspective Pose Estimation Problem
.592
R.M. Harcdick, C.-N. Lee, K. Ottenberg and M. Nolle
Depth From
.
A Matrix Based Method for Determining Depth From Focus
.600
J. Ens and P. Lawrence
Temporal Surface Reconstruction
.607
J.Heel
How Accurately Can Direct Motion Vision Determine Depth?
.613
EJ.
Weldon,
Jr. andH. Liu
A Stereoscopic Camera Employing a Single Main Lens
.619
E.H.
Adelson
andJJA. Wang
Shape from Rotation
.625
R. Szeliski
ХШ
Low-Level Vision
Ш
Identification of
Interreflectíon
in Color Images Using a Physics-Based Reflection Model
. . .632
Y.Jang
Optimal Contour Approximation by DefcrmablePieeewise Cubic Splines
. £38
L. Liu, B.G. Schunck and
СЯ.
Meyer
Rom Voxel to Curvature
.644
O. Monga,
N.
Ayache and P. Sander
On Corner and Vertex Detection
. 650
G. Giraudon andR. DeHche
Physically-based Edge Labeling
.656
T£. Boult and L£. Woff
POSTER PAPERS
Tuesday
Human Motion Analysis Based on A Robot Arm Model
. . 664
M.
lamamoto
and
К.
Koshikawa
Computing a Stable, Connected Skeleton from Discrete Data
.666
J.W. Brandt and VM. Algazi
Shared Memory Multiprocessor Implementation and Evaluation of Hough
Transform Algorithm
. .668
AJv". Choudhary andR. Ponnusamy
An Analysis of the Probability of Disparity Changes in Stereo Matching and a New Algorithm
Based on the Analysis
. 670
C.V.
Stewart
A Linear Generalized Hough Transform and Its Parallel Implementation
. 672
Z№ Li,
G.G.
Yao andF.
Tong
Recovering Shape from Contour for Constant Cross Section Generalized Cylinders
. .674
F. Ulupinar andR. Nevatia
Extracting Surfaces of Revolution by Perceptual Grouping of Ellipses
. ¿677
PL. Rosin and GA.W. West
Offline Tracing and Representation of Signatures
.679
J.C.Pan and S. Lee
MARVEL: A System that Recognizes World Locations with Stereo Vision
.681
DJ. Braunegg
Integration and Interpretation of Incomplete Stereo Scene Data.
. .683
K. Sugimoto, H. Takahashi and F.
Tornita
Dual Networks and Their Pattern Classification Properties
. 686
A.Patrikar
Early Jump-Out Comer Detectors
.
j688
/.
Cooper, S. Venkatesh, andL. Kitchen
Modelling Solids of Revolution by Monocular Vision
.
j690
JM.
Luvest,
R.
Glachet,
M.
Dhome and J.T. Lapreste
Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition.
. 692
C.-H. Chen and P.
G. Miúgaonkar
Rapid Euclidean Distance Transform Using Grayscale Morphology Decomposition
. . .695
C.T. Huang and OM. Mitchell
XIV
Wednesday
Multi-Dimensional Robust Edge Detection
.,.698
L. Liu,
B.G.
Schunck and
СЯ.
Meyer
Object Detection Using Contrast Based Scale-Space
.700
VA. Topkar,
АЖ.
SoodandB.
Kjell
Trajectories and Events
.702
SM. HaynesandR. Jain
Shape Adaptation for Modeling of
3D
Objects in Natural Scenes
.704
CM. Liedtke, H.
Busch
'and
R.
Koch
Sequences, Structure, and Active Vision
.706
RD. Rimey and CM. Brown
A New Shape Segmentation Approach for Active Vision Systems
.,708
MJ.
Aldon
and
О.
Strauss
Fast Segmentation of Range Images into Planar Regions
.710
F. Schmitt
and X. Chen
3D
from an Image Sequence
-
Occlusions and Perspective
.712
A. Shmuel andM. Werman
Positional Estimation of a Mobile Robot Using Edge Visibility Regions
.714
R. Talluri and JX. Aggarwal
Gripping Information for a Robot from Silhouettes
.716
F.
Ade,
M.
Peter and M. Ilg
A Neural Network Approach to CSG-Based
3-D
Object Recognition
.718
T.-W. Chen and W.-C.Un
Finding Junctions Using the Image Gradient
.720
DJ. Beymer
On An Analysis of Static Occlusion in Stereo Vision
.722
С
Chang, S. Chatterjee, andPM.
Kube
Deformable Models: Canonical Parameters for Surface Representation and
Multiple View Integration
.724
B.C.
Venturi
and
R.
Malicia
Qualitative Motion Analysis Using
a Spatio-Temporal
Approach
.726
S.-P.
Liou
and
R.C.
Jain
Thursday
On the Representation of Occluded Shapes
.728
T. Darrell and A. Pentland
Segmentation and Grouping of Object Boundaries Using Energy Minimization
.730
DA. Trytten andM. Tuceryan
Estimation of Motion and Structure of Planar Surfaces from a Sequence of
Monocular Images
.732
S.SullandN.Ahuja
Closed-Loop Adaptive Image Segmentation
.734
B. B honu, J.
Ming and
S.
Lee
Region Based Stereo Matching Oriented Image Processing
. .736
S. Randriamasy and A. Gagalowicz
Introducing New Deformable Surfaces to Segment
3D
Images
.738
I. Cohen, Ljy. Cohen and
N.
Ayache
A Computational Framework for SIMD Algorithms for Low-Level Support of
Intermediate Level Vision Processing
. .740
M.C. Herbordt, C.C. Weems andM
J
.
Scudder
Feature Matching in
360*
Waveforms for Robot Navigation
.,742
Z
Zhang, R. Weiss and EM. Riseman
xv
SYMAN.-ASYMmetryANalyzer.
.744
AJ).
Gross and
TJE. Boult
Determining
a Maximum
Value Yield of a Log Using an Optical
Log Scanner
. 747
S.C.
Lee, G.-S. Qian, J.-B. Chen and Y.-W. Sun
A Multiscale Approach for Recognizing Complex Annotations in Engineering Documents
. 749
A. Laine,
W.
Ball and A. Kumar
Surface and Motion Estimation from Sparse Range Data
.751
B.C.
Venturi
and G. Skofteland
On Contour Texture
.753
JJB. Subirana-Vilanova
A Consensus Structure Inference Algorithm
.755
D
K.J.
Chiu
A Discontinuity Detector Based on the Pervasive Noise in Surface Property Data
. .757
EJB. Gamble, Jr.
Author Index
.759
XVI
Author Index
Acharya,
R
.526
Ađe,R.
716
Adeison,E.H
.310,619
Aggarwal,J.K
.■.,714
Ahuja,N
.732
Aldon,MJ
.708
Algazi, VS.
.666
AUmen,M
.303
Anandan, P.
.296,318
Ayache.N.
. .".444,644,738
Balasubramanyam, P.
.115
Ball,W.
.749
Bani-Hashemi, A
.122
Baringer, W.B
.508
Вт,
A.
.2
Bartlett,Si
.109
Beinglass, A
.461
Batrand,
G.
444
Beymer.DJ
.720
Bhanu, B.
. . .734
Black, MJ
.296
ВоЫск,
AJ.
.552
Boalt,
ΊΛΕ
.656,744
Boutteny.P.
.166
Bowyer.K.
. 251
Boyer,
ΚΧ
. . .76
Bozma,
Ш.
.501
BnmdU.W.
.666
Bminegg, DJ.
j681
BreueÍ,T.M.
. . .257
Brodenäeo.R.W.
.508
Brooks.R.
.452
Brown,
С Ж
.706
Вгаећ,Н.
. .704
Οΰίηωο,Α.
.28
Chakravaitny,
CS.
.16
Chang,
С
. 722
Clang,
L
. 438
Chatterjee,
S.
.722
Ciieliappe.R
.358,540
Οκο,α-Η.
. .692
Chen,HJŁ
.145
Сћш.Ј.-В.
.747
Chea,
Q
.413
Ctei.T.-W.
. .718
Οκβ,Χ.
. .710
Шв,
DJLY.
.755
СћомВшу,
AM.
.¡668
Chg.R.CJL
. ".50
demons,D.T.
. .4
СоћеоД.
. 738
Cohen, L.D
.738
Commute,
Α. Υ
.432
Соорег.Ј
.688
da Vitorio Lobo,
Ν
.344
Darrell,
T.
.728
Delingette, H
.467
Deng, C.-T
.127
Dengler,
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.276
Deriche,
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Dhome, M
.690
Dudek,
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Dyer.CR
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Elfadel, I.M.371
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Farrokhnia, F
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Faugeras, O.D
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François,
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| any_adam_object | 1 |
| author_corporate | Conference on Computer Vision and Pattern Recognition |
| author_corporate_role | aut |
| author_facet | Conference on Computer Vision and Pattern Recognition |
| author_sort | Conference on Computer Vision and Pattern Recognition |
| building | Verbundindex |
| bvnumber | BV005425061 |
| 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_rvk | SS 1991 |
| classification_tum | DAT 776f DAT 764f |
| ctrlnum | (OCoLC)25966873 (DE-599)BVBBV005425061 |
| dewey-full | 006.3/7 |
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| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/7 |
| dewey-search | 006.3/7 |
| dewey-sort | 16.3 17 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Conference Proceeding Book |
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| genre | (DE-588)1071861417 Konferenzschrift 1991 Lahaina Hawaii gnd-content |
| genre_facet | Konferenzschrift 1991 Lahaina Hawaii |
| id | DE-604.BV005425061 |
| illustrated | Illustrated |
| indexdate | 2025-01-10T13:18:53Z |
| institution | BVB |
| institution_GND | (DE-588)5056671-4 (DE-588)25694-8 |
| isbn | 0818621486 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-003392265 |
| oclc_num | 25966873 |
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| owner | DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-83 |
| owner_facet | DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-83 |
| physical | XVI, 761 S. graph. Darst. |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
| publisher | IEEE Computer Soc. Press |
| record_format | marc |
| spelling | Conference on Computer Vision and Pattern Recognition 1991 Verfasser (DE-588)5056671-4 aut Proceedings 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Lahaina, Maui, Hawaii, June 3 - 6, 1991 Computer vision and pattern recognition Los Alamitos, Calif. u.a. IEEE Computer Soc. Press 1991 XVI, 761 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben Computer vision Congresses Pattern recognition systems Congresses 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 1991 Lahaina Hawaii gnd-content Maschinelles Sehen (DE-588)4129594-8 s Mustererkennung (DE-588)4040936-3 s 1\p DE-604 Bildverstehen (DE-588)4202022-0 s 2\p DE-604 Mikrocomputer (DE-588)4039206-5 s Kunst (DE-588)4114333-4 s 3\p DE-604 Computerkunst (DE-588)4010453-9 s 4\p DE-604 Telekommunikationsnetz (DE-588)4133586-7 s 5\p DE-604 Datennetz (DE-588)4011130-1 s 6\p DE-604 IEEE Computer Society Sonstige (DE-588)25694-8 oth Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003392265&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 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Proceedings Computer vision Congresses Pattern recognition systems Congresses 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 | Computer vision and pattern recognition |
| title_auth | Proceedings |
| title_exact_search | Proceedings |
| title_full | Proceedings 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Lahaina, Maui, Hawaii, June 3 - 6, 1991 |
| title_fullStr | Proceedings 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Lahaina, Maui, Hawaii, June 3 - 6, 1991 |
| title_full_unstemmed | Proceedings 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Lahaina, Maui, Hawaii, June 3 - 6, 1991 |
| title_short | Proceedings |
| title_sort | proceedings |
| topic | Computer vision Congresses Pattern recognition systems Congresses 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 | Computer vision Congresses Pattern recognition systems Congresses Computerkunst Bildverstehen Datennetz Telekommunikationsnetz Kunst Mustererkennung Mikrocomputer Maschinelles Sehen Konferenzschrift 1991 Lahaina Hawaii |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003392265&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT conferenceoncomputervisionandpatternrecognition proceedings AT ieeecomputersociety proceedings AT conferenceoncomputervisionandpatternrecognition computervisionandpatternrecognition AT ieeecomputersociety computervisionandpatternrecognition |