Applications of Invariance in Computer Vision: Second Joint European - US Workshop, Ponta Delgada, Azores, Portugal, October 9 - 14, 1993. Proceedings (Google eBook)

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Joseph L. Mundy, Andrew Zisserman, David Forsyth
Springer Science & Business Media, Jul 20, 1994 - Computers - 510 pages
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This book is the proceedings of the Second Joint European-US Workshop on Applications of Invariance to Computer Vision, held at Ponta Delgada, Azores, Portugal in October 1993.
The book contains 25 carefully refereed papers by distinguished researchers. The papers cover all relevant foundational aspects of geometric and algebraic invariance as well as applications to computer vision, particularly to recovery and reconstruction, object recognition, scene analysis, robotic navigation, and statistical analysis. In total, the collection of papers, together with an introductory survey by the editors, impressively documents that geometry, in its different variants, is the most successful and ubiquitous tool in computer vision.
  

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Contents

Cartans Moving Frame Method and Its Application to the Geometry and Evolution of Curves in the Euclidean Affine and Projective Planes
11
Representation of ThreeDimensional Object Structure as CrossRatios of Determinants of Stereo Image Points
47
A Case Against Epipolar Geometry
69
Image Correspondence Constraints and 3D Structure Recovery
89
How to Use the Cross Ratio to Compute Projective Invariants from two Images
107
On Geometric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views
127
An Effective Tool for Computing Invariants in Computer Vision
145
Matching Perspective Views of Parallel Plane Structures
165
Affine Reconstruction from Perspective Image Pairs Obtained by a Translating Camera
297
Using Invariance and QuasiInvariance for the Segmentation and Recovery of Curved Objects
317
Representations of 3D Objects that Incorporate Surface Markings
341
Modelbased invariant Functions and Their Use for Recognition
357
Recognition
379
Integration of Multiple Feature Groups and Multiple Views into A 3D Object Recognition System
381
Hierarchical Object Description Using Invariants
397
Generalizing Invariants for 3D to 2D Matching
415

Invariants for Recovering Shape from Shading
185
Fundamental Difficulties with Projective Normalization of Planar Curves
199
Invariant Size Functions
215
Recovery
235
Euclidean Reconstruction from Uncalibrated Views
237
Accurate Projective Reconstruction
257
Applications of Motion Field of Curves
277
Alignment and Invariance
435
Statistics
451
Classification Based on the Cross Ratio
453
Correspondence of Coplanar Features Through P˛Invariant Representations
473
Integrating Algebraic Curves and Surfaces Algebraic Invariants and Bayesian Methods for 2D and 3D Object Recognition
493
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Page iv - Department of Engineering Science University of Oxford Parks Road Oxford OX1 3PJ United Kingdom Professor Dr -Ing M.

About the author (1994)

Joseph L. Mundy is a Professor of Engineering at Brown University.

Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow in the Department of Computer Science at the University of Edinburgh.

David Forsyth, PhD, is executive director of the Gilpin Historical Society and has written several articles on Colorado's history. The Gilpin Historical Society's mission is to collect, preserve, and exhibit the colorful history of Gilpin County.

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