Multiple view geometry in computer vision [[electronic resource] /] / Richard Hartley, Andrew Zisserman |
Autore | Hartley Richard |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Cambridge, UK ; ; New York, : Cambridge University Press, 2003 |
Descrizione fisica | 1 online resource (xvi, 654 p.) : ill |
Disciplina | 006.3/7 |
Altri autori (Persone) | ZissermanAndrew |
Soggetto topico |
Computer vision
Geometry, Projective |
ISBN |
1-107-14169-9
1-139-63612-X 1-280-45812-7 0-511-18451-4 9786610458127 0-511-18535-9 0-511-18711-4 0-511-31333-0 0-511-81168-3 0-511-18618-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Introduction - a tour of multiple view geometry -- Part 0. The Background: Projective Geometry, Transformations and Estimation -- 2. Projective geometry and transformations of 2D -- 3. Projective geometry and transformations of 3D -- 4. Estimation - 2D projective transforms -- 5. Algorithm evaluation and error analysis -- Part I. Camera Geometry and Single View Geometry -- 6. Camera models -- 7. Computation of the camera matrix -- 8. More single view geometry -- Part II. Two-View Geometry -- 9. Epipolar geometry and the fundamental matrix -- 10. 3D reconstruction of cameras and structure -- 11. Computation of the fundamental matrix F -- 12. Structure computation -- 13. Scene planes and homographies -- 14. Affine epipolar geometry -- Part III. Three-View Geometry -- 15. The trifocal tensor -- 16. Computation of the trifocal tensor T -- Part IV. N -View Geometry -- 17. N-linearities and multiple view tensors -- 18. N-view computational methods -- 19. Auto-calibration -- 20. Duality -- 21. Chirality -- 22. Degenerate configurations -- Part V. Appendices -- Appendix 1. Tensor notation -- Appendix 2. Gaussian (normal) and chi-squared distributions -- Appendix 3. Parameter estimation -- Appendix 4. Matrix properties and decompositions -- Appendix 5. Least-squares minimization -- Appendix 6. Iterative Estimation Methods -- Appendix 7. Some special plane projective transformations -- Bibliography -- Index. |
Record Nr. | UNINA-9910784424003321 |
Hartley Richard | ||
Cambridge, UK ; ; New York, : Cambridge University Press, 2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Multiple view geometry in computer vision [[electronic resource] /] / Richard Hartley, Andrew Zisserman |
Autore | Hartley Richard |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Cambridge, UK ; ; New York, : Cambridge University Press, 2003 |
Descrizione fisica | 1 online resource (xvi, 654 p.) : ill |
Disciplina | 006.3/7 |
Altri autori (Persone) | ZissermanAndrew |
Soggetto topico |
Computer vision
Geometry, Projective |
ISBN |
1-107-14169-9
1-139-63612-X 1-280-45812-7 0-511-18451-4 9786610458127 0-511-18535-9 0-511-18711-4 0-511-31333-0 0-511-81168-3 0-511-18618-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Introduction - a tour of multiple view geometry -- Part 0. The Background: Projective Geometry, Transformations and Estimation -- 2. Projective geometry and transformations of 2D -- 3. Projective geometry and transformations of 3D -- 4. Estimation - 2D projective transforms -- 5. Algorithm evaluation and error analysis -- Part I. Camera Geometry and Single View Geometry -- 6. Camera models -- 7. Computation of the camera matrix -- 8. More single view geometry -- Part II. Two-View Geometry -- 9. Epipolar geometry and the fundamental matrix -- 10. 3D reconstruction of cameras and structure -- 11. Computation of the fundamental matrix F -- 12. Structure computation -- 13. Scene planes and homographies -- 14. Affine epipolar geometry -- Part III. Three-View Geometry -- 15. The trifocal tensor -- 16. Computation of the trifocal tensor T -- Part IV. N -View Geometry -- 17. N-linearities and multiple view tensors -- 18. N-view computational methods -- 19. Auto-calibration -- 20. Duality -- 21. Chirality -- 22. Degenerate configurations -- Part V. Appendices -- Appendix 1. Tensor notation -- Appendix 2. Gaussian (normal) and chi-squared distributions -- Appendix 3. Parameter estimation -- Appendix 4. Matrix properties and decompositions -- Appendix 5. Least-squares minimization -- Appendix 6. Iterative Estimation Methods -- Appendix 7. Some special plane projective transformations -- Bibliography -- Index. |
Record Nr. | UNINA-9910816990403321 |
Hartley Richard | ||
Cambridge, UK ; ; New York, : Cambridge University Press, 2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Object Representation in Computer Vision II [[electronic resource] ] : ECCV '96 International Workshop, Cambridge, UK, April 13 - 14, 1996. Proceedings / / edited by Jean Ponce, Andrew Zisserman, Martial Hebert |
Edizione | [1st ed. 1996.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1996 |
Descrizione fisica | 1 online resource (IX, 411 p.) |
Disciplina | 006.3/7 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Optical data processing
Pattern recognition Computer graphics Artificial intelligence Computational complexity Image Processing and Computer Vision Pattern Recognition Computer Graphics Artificial Intelligence Complexity |
ISBN | 3-540-70673-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Report on the 1996 international workshop on object representation in computer vision -- From an intensity image to 3-D segmented descriptions -- Recovering Generalized Cylinders by monocular vision -- Combinatorial geometry for shape representation and indexing -- Representing objects using topology -- Curvature based signatures for object description and recognition -- On 3D shape synthesis -- Shape constancy in pictorial relief -- Dimensionality of illumination manifolds in appearance matching -- Learning object representations from lighting variations -- Learning appearance models for object recognition -- An image oriented CAD approach -- An experimental comparison of appearance and geometric model based recognition -- Virtualized reality: Being mobile in a visual scene -- Generic shape learning and recognition -- A hybrid approach to 3D representation -- Finding pictures of objects in large collections of images -- Beyond the Hough transform: Further properties of the R? mapping and their applications -- Non-Euclidean object representations for calibration-free video overlay. |
Record Nr. | UNISA-996465866803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1996 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Toward Category-Level Object Recognition [[electronic resource] /] / edited by Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Descrizione fisica | 1 online resource (XI, 620 p.) |
Disciplina | 006.3/7 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer graphics Algorithms Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Artificial Intelligence Computer Graphics Algorithm Analysis and Problem Complexity |
ISBN | 3-540-68795-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Object Recognition in the Geometric Era: A Retrospective -- Dataset Issues in Object Recognition -- Industry and Object Recognition: Applications, Applied Research and Challenges -- Recognition of Specific Objects -- What and Where: 3D Object Recognition with Accurate Pose -- Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions -- 3D Object Modeling and Recognition from Photographs and Image Sequences -- Video Google: Efficient Visual Search of Videos -- Simultaneous Object Recognition and Segmentation by Image Exploration -- Recognition of Object Categories -- Comparison of Generative and Discriminative Techniques for Object Detection and Classification -- Synergistic Face Detection and Pose Estimation with Energy-Based Models -- Generic Visual Categorization Using Weak Geometry -- Components for Object Detection and Identification -- Cross Modal Disambiguation -- Translating Images to Words for Recognizing Objects in Large Image and Video Collections -- A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues -- Towards the Optimal Training of Cascades of Boosted Ensembles -- Visual Classification by a Hierarchy of Extended Fragments -- Shared Features for Multiclass Object Detection -- Generative Models for Labeling Multi-object Configurations in Images -- Object Detection and Localization Using Local and Global Features -- The Trace Model for Object Detection and Tracking -- Recognition of Object Categories with Geometric Relations -- A Discriminative Framework for Texture and Object Recognition Using Local Image Features -- A Sparse Object Category Model for Efficient Learning and Complete Recognition -- Object Recognition by Combining Appearance and Geometry -- Shape Matching and Object Recognition -- An Implicit Shape Model for Combined Object Categorization and Segmentation -- Statistical Models of Shape and Texture for Face Recognition -- Joint Recognition and Segmentation -- Image Parsing: Unifying Segmentation, Detection, and Recognition -- Sequential Learning of Layered Models from Video -- An Object Category Specific mrf for Segmentation. |
Record Nr. | UNISA-996466162203316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Toward Category-Level Object Recognition [[electronic resource] /] / edited by Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Descrizione fisica | 1 online resource (XI, 620 p.) |
Disciplina | 006.3/7 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer graphics Algorithms Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Artificial Intelligence Computer Graphics Algorithm Analysis and Problem Complexity |
ISBN | 3-540-68795-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Object Recognition in the Geometric Era: A Retrospective -- Dataset Issues in Object Recognition -- Industry and Object Recognition: Applications, Applied Research and Challenges -- Recognition of Specific Objects -- What and Where: 3D Object Recognition with Accurate Pose -- Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions -- 3D Object Modeling and Recognition from Photographs and Image Sequences -- Video Google: Efficient Visual Search of Videos -- Simultaneous Object Recognition and Segmentation by Image Exploration -- Recognition of Object Categories -- Comparison of Generative and Discriminative Techniques for Object Detection and Classification -- Synergistic Face Detection and Pose Estimation with Energy-Based Models -- Generic Visual Categorization Using Weak Geometry -- Components for Object Detection and Identification -- Cross Modal Disambiguation -- Translating Images to Words for Recognizing Objects in Large Image and Video Collections -- A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues -- Towards the Optimal Training of Cascades of Boosted Ensembles -- Visual Classification by a Hierarchy of Extended Fragments -- Shared Features for Multiclass Object Detection -- Generative Models for Labeling Multi-object Configurations in Images -- Object Detection and Localization Using Local and Global Features -- The Trace Model for Object Detection and Tracking -- Recognition of Object Categories with Geometric Relations -- A Discriminative Framework for Texture and Object Recognition Using Local Image Features -- A Sparse Object Category Model for Efficient Learning and Complete Recognition -- Object Recognition by Combining Appearance and Geometry -- Shape Matching and Object Recognition -- An Implicit Shape Model for Combined Object Categorization and Segmentation -- Statistical Models of Shape and Texture for Face Recognition -- Joint Recognition and Segmentation -- Image Parsing: Unifying Segmentation, Detection, and Recognition -- Sequential Learning of Layered Models from Video -- An Object Category Specific mrf for Segmentation. |
Record Nr. | UNINA-9910484940403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Vision Algorithms: Theory and Practice [[electronic resource] ] : International Workshop on Vision Algorithms Corfu, Greece, September 21-22, 1999 Proceedings / / edited by Bill Triggs, Andrew Zisserman, Richard Szeliski |
Edizione | [1st ed. 2000.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
Descrizione fisica | 1 online resource (X, 390 p.) |
Disciplina | 006.37 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Application software
Optical data processing Pattern recognition Computer graphics Algorithms Computer Applications Image Processing and Computer Vision Pattern Recognition Computer Graphics Algorithm Analysis and Problem Complexity |
ISBN | 3-540-44480-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Correspondence and Tracking -- An Experimental Comparison of Stereo Algorithms -- A General Method for Feature Matching and Model Extraction -- Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency -- A Sampling Algorithm for Tracking Multiple Objects -- Real-Time Tracking of Complex Structures for Visual Servoing -- Geometry and Reconstruction -- Direct Recovery of Planar-Parallax from Multiple Frames -- Generalized Voxel Coloring -- Projective Reconstruction from N Views Having One View in Common -- Point- and Line-Based Parameterized Image Varieties for Image-Based Rendering -- Recovery of Circular Motion from Profiles of Surfaces -- Optimal Reconstruction -- Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation -- Gauge Independence in Optimization Algorithms for 3D Vision -- Uncertainty Modeling for Optimal Structure from Motion -- Error Characterization of the Factorization Approach to Shape and Motion Recovery -- Bootstrapping Errors-in-Variables Models -- Invited Talks -- Annotation of Video by Alignment to Reference Imagery -- Computer-Vision for the Post-production World: Facts and Challenges through the REALViZ Experience -- Special Sessions -- About Direct Methods -- Feature Based Methods for Structure and Motion Estimation -- Discussion for Direct versus Features Session -- Bundle Adjustment — A Modern Synthesis -- Discussion for Session on Bundle Adjustment -- Summary of the Panel Session. |
Record Nr. | UNINA-9910143622903321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Vision Algorithms: Theory and Practice [[electronic resource] ] : International Workshop on Vision Algorithms Corfu, Greece, September 21-22, 1999 Proceedings / / edited by Bill Triggs, Andrew Zisserman, Richard Szeliski |
Edizione | [1st ed. 2000.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
Descrizione fisica | 1 online resource (X, 390 p.) |
Disciplina | 006.37 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Application software
Optical data processing Pattern recognition Computer graphics Algorithms Computer Applications Image Processing and Computer Vision Pattern Recognition Computer Graphics Algorithm Analysis and Problem Complexity |
ISBN | 3-540-44480-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Correspondence and Tracking -- An Experimental Comparison of Stereo Algorithms -- A General Method for Feature Matching and Model Extraction -- Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency -- A Sampling Algorithm for Tracking Multiple Objects -- Real-Time Tracking of Complex Structures for Visual Servoing -- Geometry and Reconstruction -- Direct Recovery of Planar-Parallax from Multiple Frames -- Generalized Voxel Coloring -- Projective Reconstruction from N Views Having One View in Common -- Point- and Line-Based Parameterized Image Varieties for Image-Based Rendering -- Recovery of Circular Motion from Profiles of Surfaces -- Optimal Reconstruction -- Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation -- Gauge Independence in Optimization Algorithms for 3D Vision -- Uncertainty Modeling for Optimal Structure from Motion -- Error Characterization of the Factorization Approach to Shape and Motion Recovery -- Bootstrapping Errors-in-Variables Models -- Invited Talks -- Annotation of Video by Alignment to Reference Imagery -- Computer-Vision for the Post-production World: Facts and Challenges through the REALViZ Experience -- Special Sessions -- About Direct Methods -- Feature Based Methods for Structure and Motion Estimation -- Discussion for Direct versus Features Session -- Bundle Adjustment — A Modern Synthesis -- Discussion for Session on Bundle Adjustment -- Summary of the Panel Session. |
Record Nr. | UNISA-996465412503316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|