Panoramic vision: sensors, theory, and applications
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
New York ; Berlin ; Heidelberg ; Barcelona ; Hong Kong ; London
Springer
2001
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| Series: | Monographs in computer science
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. 425 - 449 |
| Physical Description: | XXIV, 449 S. Ill., graph. Darst. |
| ISBN: | 0387951113 |
Staff View
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Record in the Search Index
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| adam_text | RYAD BENOSMAN SING BING KANG EDITORS PANORAMIC VISION SENSORS, THEORY,
AND APPLICATIONS FOREWORD BY OLIVIER FAUGERAS WITH 267 ILLUSTRATIONS
SPRINGER CONTENTS FOREWORD V PREFACE VII CONTRIBUTORS XIX 1 INTRODUCTION
1 R. BENOSMAN AND S.B. KANG 1.1 OMNIDIRECTIONAL VISION IN NATURE 1 1.2
MAN-MADE PANORAMIC VISION 3 1.3 ORGANIZATION OF BOOK 3 1.4
ACKNOWLEDGMENT 4 2 A BRIEF HISTORICAL PERSPECTIVE ON PANORAMA 5 R.
BENOSMAN AND S.B. KANG 2.1 PANORAMA IN THE BEGINNING 5 2.2 PROM PANORAMA
EXHIBITS TO PHOTOGRAPHY 6 2.3 PANORAMA IN EUROPE AND THE UNITED STATES 9
2.3.1 PANORAMA IN BRITAIN 9 2.3.2 PANORAMA IN FRANCE 9 2.3.3 PANORAMA IN
GERMANY 11 2.3.4 PANORAMA IN THE UNITED STATES 12 2.4 FROM PANORAMIC ART
TO PANORAMIC TECHNOLOGY 13 2.4.1 PANORAMIC CAMERAS 14 2.4.2
OMNIDIRECTIONAL VISION SENSORS 14 2.5 THE USE OF MIRRORS IN PAINTINGS 15
2.5.1 THE EVOLUTION OF MIRRORS 15 2.5.2 MIRRORS IN PAINTINGS 16 2.5.3
ANAMORPHOSIS 18 2.6 CONCLUDING REMARKS 18 2.7 ADDITIONAL ONLINE
RESOURCES 19 2.8 ACKNOWLEDGMENT 19 X CONTENTS SECTION I: CATADIOPTRIC
PANORAMIC SYSTEMS 21 3 DEVELOPMENT OF LOW-COST COMPACT OMNIDIRECTIONAL
VISION SENSORS 23 H. ISHIGURO 3.1 INTRODUCTION 23 3.2 PREVIOUS WORK 24
3.2.1 OMNIDIRECTIONAL VISION SENSORS 24 3.2.2 OMNIDIRECTIONAL IMAGES 25
3.3 DESIGNS OF ODVSS 26 3.3.1 DESIGNS OF MIRRORS 26 3.3.2 DESIGN OF A
SUPPORTING APPARATUS 29 3.4 TRIAL PRODUCTION OF C-ODVSS 30 3.4.1
ELIMINATING INTERNAL REFLECTIONS 31 3.4.2 MAKING MIRRORS FROM METAL 31
3.4.3 FOCUSING IN AN ODVS 32 3.4.4 DEVELOPED C-ODVSS 34 3.5 APPLICATIONS
OF ODVSS 34 3.5.1 MULTIMEDIA APPLICATIONS 34 3.5.2 MONITORING
APPLICATIONS 36 3.5.3 MOBILE ROBOT NAVIGATION 37 3.6 CONCLUSION 38 4
SINGLE VIEWPOINT CATADIOPTRIC CAMERAS 39 S. BAKER AND S.K. NAYAR 4.1
INTRODUCTION 39 4.2 THE FIXED VIEWPOINT CONSTRAINT 41 4.2.1 DERIVATION
OF THE FIXED VIEWPOINT CONSTRAINT EQUATION 41 4.2.2 GENERAL SOLUTION OF
THE CONSTRAINT EQUATION ... 44 4.2.3 SPECIFIC SOLUTIONS OF THE
CONSTRAINT EQUATION . . 45 4.2.4 THE ORTHOGRAPHIC CASE: PARABOLOIDAL
MIRRORS . . 53 4.3 RESOLUTION OF A CATADIOPTRIC CAMERA 54 4.3.1 THE
ORTHOGRAPHIC CASE 57 4.4 DEFOCUS BLUR OF A CATADIOPTRIC CAMERA 59 4.4.1
ANALYSIS OF DEFOCUS BLUR 59 4.4.2 DEFOCUS BLUR IN THE ORTHOGRAPHIC CASE
. . . . . . 62 4.4.3 NUMERICAL RESULTS 63 4.5 CASE STUDY: PARABOLIC
OMNIDIRECTIONAL CAMERAS 65 4.5.1 SELECTION OF THE FIELD OF VIEW 67 4.5.2
IMPLEMENTATIONS OF PARABOLIC SYSTEMS .67 4.6 CONCLUSION 70 CONTENTS XI 5
EPIPOLAR GEOMETRY OF CENTRAL PANORAMIC CATADIOPTRIC CAMERAS 73 T.
PAJDLA, T. SVOBODA, AND V. HLAVDC 5.1 INTRODUCTION 73 5.2 TERMINOLOGY
AND NOTATION 74 5.3 OVERVIEW OF EXISTING PANORAMIC CAMERAS 75 5.3.1
STEREO AND DEPTH FROM PANORAMIC IMAGES . . . . 77 5.3.2 CLASSIFICATION
OF EXISTING CAMERAS AND COMPARISON OF THEIR PRINCIPLES 77 5.4 CENTRAL
PANORAMIC CATADIOPTRIC CAMERA 79 5.5 CAMERA MODEL 81 5.5.1 HYPERBOLIC
MIRROR 82 5.5.2 PARABOLIC MIRROR 85 5.6 EXAMPLES OF REAL CENTRAL
PANORAMIC CATADIOPTRIC CAMERAS 87 5.7 EPIPOLAR GEOMETRY 88 5.7.1
HYPERBOLIC MIRROR 92 5.7.2 PARABOLIC MIRROR 95 5.8 ESTIMATION OF
EPIPOLAR GEOMETRY 97 5.9 NORMALIZATION FOR ESTIMATION OF EPIPOLAR
GEOMETRY ... 98 5.9.1 NORMALIZATION FOR CONVENTIONAL CAMERAS 98 5.9.2
NORMALIZATION FOR OMNIDIRECTIONAL CAMERAS ... 99 5.10 SUMMARY 102 6
FOLDED CATADIOPTRIC CAMERAS 103 S.K. NAYAR AND V. PERI 6.1 INTRODUCTION
103 6.2 BACKGROUND: SINGLE MIRROR SYSTEMS 104 6.3 GEOMETRY OF FOLDED
SYSTEMS 105 6.3.1 THE GENERAL PROBLEM OF FOLDING 105 6.3.2 THE SIMPLER
WORLD OF CONIES 106 6.3.3 EQUIVALENT SINGLE MIRROR SYSTEMS 108 6.4
OPTICS OF FOLDED SYSTEMS 112 6.4.1 PERTINENT OPTICAL EFFECTS 113 6.4.2
DESIGN PARAMETERS 114 6.4.3 SYSTEM OPTIMIZATION 115 6.5 AN EXAMPLE
IMPLEMENTATION 115 SECTION II: PANORAMIC STEREO VISION SYSTEMS 121 7 A
REAL-TIME PANORAMIC STEREO IMAGING SYSTEM AND ITS APPLICATIONS 123 A.
BASU AND J. BALDWIN 7.1 INTRODUCTION 123 7.2 PREVIOUS APPLICATIONS 125
XII CONTENTS 7.3 STEREO DESIGN 126 7.3.1 VERTICAL EXTENT OF STEREO FIELD
OF VIEW 127 7.3.2 EFFECTIVE EYE SEPARATION 127 7.3.3 ORIENTATION OF EYE
SEPARATION 128 7.4 DEVICE CALIBRATION 129 7.4.1 ANALOG APPROACH 130
7.4.2 DIGITAL APPROACH 131 7.5 HARDWARE DESIGN AND IMPLEMENTATION 133
7.6 RESULTS PRODUCED BY SYSTEM 134 7.7 THE MATHEMATICS OF PANORAMIC
STEREO 136 7.8 EXPERIMENTAL RESULTS 139 7.9 FURTHER IMPROVEMENTS 141
7.10 ACKNOWLEDGMENT 141 8 PANORAMIC IMAGING WITH HORIZONTAL STEREO 143
S. PELEG, M. BEN-EZRA, AND Y. PRITCH 8.1 INTRODUCTION 143 8.1.1
PANORAMIC IMAGES 143 8.1.2 VISUAL STEREO 144 8.1.3 CAUSTIC CURVES 145
8.2 MULTIPLE VIEWPOINT PROJECTIONS 145 8.3 STEREO PANORAMAS WITH
ROTATING CAMERAS 145 8.3.1 STEREO MOSAICING WITH A SLIT CAMERA 147 8.3.2
STEREO MOSAICING WITH A VIDEO CAMERA 148 8.4 STEREO PANORAMAS WITH A
SPIRAL MIRROR 148 8.5 STEREO PANORAMAS WITH A SPIRAL LENS 151 8.6 STEREO
PAIRS FROM STEREO PANORAMAS 157 8.7 PANORAMIC STEREO MOVIES 158 8.8
LEFT-RIGHT PANORAMA ALIGNMENT (VERGENCE) 159 8.9 CONCLUDING REMARKS 160
8.10 ACKNOWLEDGMENT 160 9 PANORAMIC STEREOVISION SENSOR 161 R. BENOSMAN
AND J. DEVARS 9.1 ROTATING A LINEAR CCD 161 9.2 SYSTEM FUNCTION 164 9.3
TOWARD A REAL-TIME SENSOR? 166 9.4 ACKNOWLEDGMENT , 167 10 CALIBRATION
OF THE STEREOVISION PANORAMIC SENSOR 169 R. BENOSMAN AND J. DEVARS 10.1
INTRODUCTION 169 10.2 LINEAR CAMERA CALIBRATION USING RIGID
TRANSFORMATION . 169 10.2.1 THE PINHOLE MODEL 169 10.2.2 APPLYING THE
RIGID TRANSFORMATION 171 CONTENTS XIII 10.2.3 COMPUTING THE CALIBRATION
PARAMETERS 171 10.2.4 RECONSTRUCTION 172 10.2.5 EXPERIMENTAL RESULTS 172
10.3 CALIBRATING THE PANORAMIC SENSOR USING PROJECTIVE NORMALIZED
VECTORS 173 10.3.1 MATHEMATICAL PRELIMINARIES 173 10.3.2 CAMERA
CALIBRATION 175 10.4 HANDLING LENS DISTORTIONS 177 10.5 RESULTS 178 10.6
CONCLUSION 180 10.7 ACKNOWLEDGMENT 180 11 MATCHING LINEAR STEREOSCOPIC
IMAGES 181 R. BENOSMAN AND J. DEVARS 11.1 INTRODUCTION 181 11.2
GEOMETRICAL PROPERTIES OF THE PANORAMIC SENSOR 181 11.3 POSITIONING THE
PROBLEM 183 11.4 A FEW NOTIONS ON DYNAMIC PROGRAMING 184 11.4.1
PRINCIPLE 184 11.4.2 THE FAMILY OF DYNAMIC PROGRAMMING USED . . . 184
11.5 MATCHING LINEAR LINES 185 11.5.1 PRINCIPLE 185 11.5.2 COST FUNCTION
186 11.5.3 OPTIMAL PATH RETRIEVAL AND RESULTS 186 11.5.4 MATCHING
CONSTRAINTS 187 11.6 REGION MATCHING 193 11.6.1 INTRODUCTION 193 11.6.2
PRINCIPLE OF METHOD 193 11.6.3 COMPUTING SIMILARITY BETWEEN TWO
INTERVALS . . . 194 11.6.4 MATCHING MODULUS 195 11.6.5 MATCHING
ALGORITHM 196 11.6.6 ADDING CONSTRAINTS 196 11.6.7 EXPERIMENTAL RESULTS
198 SECTION III: TECHNIQUES FOR GENERATING PANORAMIC IMAGES 201 12
CHARACTERIZATION OF ERRORS IN COMPOSITING CYLINDRICAL PANORAMIC IMAGES
205 S.B. KANG AND R. WEISS 12.1 INTRODUCTION 205 12.1.1 ANALYZING THE
ERROR IN COMPOSITING LENGTH . . . 206 12.1.2 CAMERA CALIBRATION 206
12.1.3 MOTIVATION AND OUTLINE 207 12.2 GENERATING A PANORAMIC IMAGE 208
XIV CONTENTS 12.3 COMPOSITING ERRORS DUE TO MISESTIMATION OF FOCAL
LENGTH 209 12.3.1 DERIVATION 210 12.3.2 IMAGE COMPOSITING APPROACH TO
CAMERA CALIBRATION 215 12.4 COMPOSITING ERRORS DUE TO MISESTIMATION OF
RADIAL DISTORTION COEFFICIENT 218 12.5 EFFECT OF ERROR IN FOCAL LENGTH
AND RADIAL DISTORTION COEFFICIENT ON 3D DATA 222 12.6 AN EXAMPLE USING
IMAGES OF A REAL SCENE 223 12.7 SUMMARY 226 13 CONSTRUCTION OF PANORAMIC
IMAGE MOSAICS WITH GLOBAL AND LOCAL ALIGNMENT 227 H.-Y. SHUM AND R.
SZELISKI 13.1 INTRODUCTION 227 13.2 CYLINDRICAL AND SPHERICAL PANORAMAS
230 13.3 ALIGNMENT FRAMEWORK AND MOTION MODELS 233 13.3.1 8-PARAMETER
PERSPECTIVE TRANSFORMATIONS 234 13.3.2 3D ROTATIONS AND ZOOMS 237 13.3.3
OTHER MOTION MODELS 239 13.4 PATCH-BASED ALIGNMENT ALGORITHM 240 13.4.1
PATCH-BASED ALIGNMENT 240 13.4.2 CORRELATION-STYLE SEARCH 241 13.5
ESTIMATING THE FOCAL LENGTH 242 13.5.1 CLOSING THE GAP IN A PANORAMA 243
13.6 GLOBAL ALIGNMENT (BLOCK ADJUSTMENT) 244 13.6.1 ESTABLISHING THE
POINT CORRESPONDENCES 245 13.6.2 OPTIMALLY CRITERIA 245 13.6.3 SOLUTION
TECHNIQUE 248 13.6.4 OPTIMIZING IN SCREEN COORDINATES 250 13.7
DEGHOSTING (LOCAL ALIGNMENT) 250 13.8 EXPERIMENTS 252 13.8.1 GLOBAL
ALIGNMENT 253 13.8.2 LOCAL ALIGNMENT 255 13.8.3 ADDITIONAL EXAMPLES 258
13.9 ENVIRONMENT MAP CONSTRUCTION 260 13.10 DISCUSSION 263 13.11
APPENDIX: LINEARLY-CONSTRAINED LEAST-SQUARES 265 13.11.1 LAGRANGE
MULTIPLIERS 266 13.11.2 ELIMINATION METHOD 266 13.11.3 QR FACTORIZATION
267 CONTENTS XV 14 SELF-CALIBRATION OF ZOOMING CAMERAS FROM A SINGLE
VIEWPOINT 269 L. DE AGAPITO, E. HAYMAN, I.D. REID, AND R.I. HARTLEY 14.1
INTRODUCTION 269 14.2 THE ROTATING CAMERA 270 14.2.1 CAMERA MODEL 270
14.2.2 THE INTER-IMAGE HOMOGRAPHY 271 14.2.3 THE INFINITE HOMOGRAPHY
CONSTRAINT 272 14.3 SELF-CALIBRATION OF ROTATING CAMERAS 275 14.3.1
PROBLEM FORMULATION 275 14.3.2 CONSTANT INTRINSIC PARAMETERS 275 14.3.3
VARYING INTRINSIC PARAMETERS 276 14.4 EXPERIMENTAL RESULTS 279 14.4.1
EXPERIMENTS WITH SYNTHETIC DATA 279 14.4.2 EXPERIMENTS WITH REAL DATA
281 14.5 OPTIMAL ESTIMATION: BUNDLE-ADJUSTMENT 282 14.5.1 MAXIMUM
LIKELIHOOD ESTIMATION (MLE) 283 14.5.2 USING PRIORS ON THE ESTIMATED
PARAMETERS: MAXIMUM A POSTERIORI ESTIMATION (MAP) .... 284 14.5.3
EXPERIMENTAL RESULTS 285 14.6 DISCUSSION 286 15 360 X 360 MOSAICS:
REGULAR AND STEREOSCOPIC 291 S.K. NAYAR AND A.D. KARMARKAR 15.1
SPHERICAL MOSAICS 291 15.2 360 STRIPS 292 15.3 360 SLICES 295 15.4
SLICE CAMERAS 296 15.5 EXPERIMENTAL RESULTS 297 15.6 VARIANTS OF THE
SLICE CAMERA . . . 298 15.7 SUMMARY 299 16 MOSAICING WITH STRIPS ON
ADAPTIVE MANIFOLDS 309 S. PELEG, B. ROUSSO, A. RAV-ACHA, AND A. ZOMET
16.1 INTRODUCTION 309 16.2 MOSAICING WITH STRIPS 313 16.3 CUTTING AND
PASTING OF STRIPS 314 16.3.1 SELECTING STRIPS 314 16.3.2 PASTING STRIPS
315 16.4 EXAMPLES OF MOSAICING IMPLEMENTATIONS 317 16.4.1 STRIP CUT AND
PASTE 317 16.4.2 COLOR MERGING IN SEAMS 318 16.4.3 MOSAICING WITH
STRAIGHT STRIPS 318 16.4.4 MOSAICING WITH CURVED STRIPS: FORWARD MOTION
. 319 16.5 RECTIFIED MOSAICING: A TILTED CAMERA 320 XVI CONTENTS 16.5.1
ASYMMETRICAL STRIPS 321 16.5.2 SYMMETRICAL STRIPS 322 16.6 VIEW
INTERPOLATION FOR MOTION PARALLAX 323 16.7 CONCLUDING REMARKS 325
SECTION IV: APPLICATIONS 327 17 3D ENVIRONMENT MODELING FROM MULTIPLE
CYLINDRICAL PANORAMIC IMAGES 329 S.B. KANG AND R. SZELISKI 17.1
INTRODUCTION 329 17.2 RELEVANT WORK 330 17.3 OVERVIEW OF APPROACH 331
17.4 EXTRACTION OF PANORAMIC IMAGES 332 17.5 RECOVERY OF EPIPOLAR
GEOMETRY 333 17.5.1 8-POINT ALGORITHM: BASICS 334 17.5.2 TRACKING
FEATURES FOR 8-POINT ALGORITHM 336 17.6 OMNIDIRECTIONAL MULTIBASELINE
STEREO 337 17.6.1 RECONSTRUCTION METHOD 1: UNCONSTRAINED FEATURE
TRACKING AND 3D DATA MERGING 338 17.6.2 RECONSTRUCTION METHOD 2:
ITERATIVE PANORAMIC STRUCTURE FROM MOTION 339 17.6.3 RECONSTRUCTION
METHOD 3: CONSTRAINED DEPTH RECOVERY USING EPIPOLAR GEOMETRY 341 17.7
STEREO DATA SEGMENTATION AND MODELING 343 17.8 EXPERIMENTAL RESULTS 343
17.8.1 SYNTHETIC SCENE 343 17.8.2 REAL SCENES 345 17.9 DISCUSSION AND
CONCLUSIONS 347 17.10 APPENDIX: OPTIMAL POINT INTERSECTION 349 17.11
APPENDIX: ELEMENTAL TRANSFORM DERIVATIVES 350 18 N-OCULAR STEREO FOR
REAL-TIME HUMAN TRACKING 359 T. SOGO, H. ISHIGURO, AND M.M. TRIVEDI 18.1
INTRODUCTION 359 18.2 MULTIPLE CAMERA STEREO 361 18.2.1 THE
CORRESPONDENCE PROBLEMS AND TRINOCULAR STEREO 361 18.2.2 PROBLEMS OF
PREVIOUS METHODS 362 18.3 LOCALIZATION OF TARGETS BY N-OCULAR STEREO 363
18.3.1 BASIC ALGORITHM 363 18.3.2 LOCALIZATION OF TARGETS AND ERROR
HANDLING . . . 364 18.3.3 FALSE MATCHINGS IN N-OCULAR STEREO 365 18.4
IMPLEMENTING N-OCULAR STEREO 366 18.4.1 SIMPLIFIED N-OCULAR STEREO 366
CONTENTS XVII 18.4.2 ERROR HANDLING IN THE SIMPLIFIED N-OCULAR STEREO
367 18.5 EXPERIMENTATION 369 18.5.1 HARDWARE CONFIGURATION 369 18.5.2
DETECTING AZIMUTH ANGLES OF TARGETS 369 18.5.3 PRECISION OF N-OCULAR
STEREO 370 18.5.4 TRACKING PEOPLE 372 18.5.5 APPLICATION OF THE SYSTEM
373 18.6 CONCLUSION 374 19 IDENTIFYING AND LOCALIZING ROBOTS WITH
OMNIDIRECTIONAL VISION SENSORS 377 H. ISHIGURO, K. KATO, AND M. BARTH
19.1 INTRODUCTION 377 19.2 OMNIDIRECTIONAL VISION SENSOR 378 19.3
IDENTIFICATION AND LOCALIZATION ALGORITHM 378 19.3.1 METHODOLOGY 379
19.3.2 TRIANGLE CONSTRAINT 380 19.3.3 TRIANGLE VERIFICATION 381 19.3.4
ERROR HANDLING 382 19.3.5 COMPUTATIONAL COST 384 19.4 EXPERIMENTAL
RESULTS 384 19.4.1 SIMULATION EXPERIMENTS 384 19.4.2 REAL-WORLD
EXPERIMENT 387 19.5 CONCLUSIONS 390 20 VIDEO REPRESENTATION AND
MANIPULATIONS USING MOSAICS 393 P. ANANDAN AND M. IRANI 20.1
INTRODUCTION 393 20.2 FROM FRAMES TO SCENES 395 20.2.1 THE EXTENDED
SPATIAL INFORMATION: THE PANORAMIC MOSAIC IMAGE 396 20.2.2 THE GEOMETRIC
INFORMATION 397 20.2.3 THE DYNAMIC INFORMATION 398 20.3 USES OF THE
SCENE-BASED REPRESENTATION 399 20.3.1 VISUAL SUMMARIES: A VISUAL TABLE
OF CONTENT . . 399 20.3.2 MOSAIC-BASED VIDEO INDEXING AND ANNOTATION . .
400 20.3.3 MOSAIC-BASED VIDEO ENHANCEMENT 408 20.3.4 MOSAIC-BASED VIDEO
COMPRESSION 411 20.4 BUILDING THE SCENE-BASED REPRESENTATION 416 20.4.1
ESTIMATING THE GEOMETRIC TRANSFORMATIONS . . . . 416 20.4.2 SEQUENCE
ALIGNMENT AND INTEGRATION 420 20.4.3 MOVING OBJECT DETECTION AND
TRACKING 423 20.5 CONCLUSION 424 BIBLIOGRAPHY 425
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV014077214 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:57:14Z |
| institution | BVB |
| isbn | 0387951113 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009641782 |
| oclc_num | 45362729 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-29T DE-522 DE-83 |
| owner_facet | DE-91G DE-BY-TUM DE-29T DE-522 DE-83 |
| physical | XXIV, 449 S. Ill., graph. Darst. |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Springer |
| record_format | marc |
| series2 | Monographs in computer science |
| spelling | Panoramic vision sensors, theory, and applications Ryad Benosman ... ed. New York ; Berlin ; Heidelberg ; Barcelona ; Hong Kong ; London Springer 2001 XXIV, 449 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Monographs in computer science Literaturverz. S. 425 - 449 Photographie panoramique Vision par ordinateur Computer vision Photography, Panoramic Optischer Sensor (DE-588)4075677-4 gnd rswk-swf Panoramafotografie (DE-588)4344867-7 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Panorama-Aufnahme (DE-588)4294609-8 gnd rswk-swf Kamera (DE-588)4366655-3 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Sehen (DE-588)4129594-8 s Panoramafotografie (DE-588)4344867-7 s DE-604 Optischer Sensor (DE-588)4075677-4 s Panorama-Aufnahme (DE-588)4294609-8 s Kamera (DE-588)4366655-3 s Benosman, Ryad Sonstige oth HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009641782&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Panoramic vision sensors, theory, and applications Photographie panoramique Vision par ordinateur Computer vision Photography, Panoramic Optischer Sensor (DE-588)4075677-4 gnd Panoramafotografie (DE-588)4344867-7 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Panorama-Aufnahme (DE-588)4294609-8 gnd Kamera (DE-588)4366655-3 gnd |
| subject_GND | (DE-588)4075677-4 (DE-588)4344867-7 (DE-588)4129594-8 (DE-588)4294609-8 (DE-588)4366655-3 (DE-588)4143413-4 |
| title | Panoramic vision sensors, theory, and applications |
| title_auth | Panoramic vision sensors, theory, and applications |
| title_exact_search | Panoramic vision sensors, theory, and applications |
| title_full | Panoramic vision sensors, theory, and applications Ryad Benosman ... ed. |
| title_fullStr | Panoramic vision sensors, theory, and applications Ryad Benosman ... ed. |
| title_full_unstemmed | Panoramic vision sensors, theory, and applications Ryad Benosman ... ed. |
| title_short | Panoramic vision |
| title_sort | panoramic vision sensors theory and applications |
| title_sub | sensors, theory, and applications |
| topic | Photographie panoramique Vision par ordinateur Computer vision Photography, Panoramic Optischer Sensor (DE-588)4075677-4 gnd Panoramafotografie (DE-588)4344867-7 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Panorama-Aufnahme (DE-588)4294609-8 gnd Kamera (DE-588)4366655-3 gnd |
| topic_facet | Photographie panoramique Vision par ordinateur Computer vision Photography, Panoramic Optischer Sensor Panoramafotografie Maschinelles Sehen Panorama-Aufnahme Kamera Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009641782&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT benosmanryad panoramicvisionsensorstheoryandapplications |