This book uses the methodology of artificial intelligence to investigate the phenomena of visual motion perception: how the visual system constructs descriptions of the environment in terms of objects, their three-dimensional shape, and their motion through space, on the basis of the changing image
Interpretation of Visual Motion: A Computational Study
โ Scribed by Muralidhara Subbarao
- Publisher
- Morgan Kaufmann
- Year
- 1988
- Tongue
- English
- Leaves
- 146
- Series
- Research Notes in Artificial Intelligence
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Interpretation of Visual Motion: A Computational Study provides an information processing point of view to the phenomenon of visual motion.
This book discusses the computational theory formulated for recovering the scene from monocular visual motion, determining the local geometry and rigid body motion of surfaces from spatio-temporal parameters of visual motion. This compilation also provides a theoretical and computational framework for future research on visual motion, both in human vision and machine vision areas. Other topics include the computation of image flow from intensity derivatives, instantaneous image flow due to rigid motion, time and space-time derivatives of image flow, and estimation of maximum absolute error.
This publication is recommended for professionals and non-specialists intending to acquire knowledge of visual motion.
โฆ Table of Contents
Content:
Dedication, Page ii
Front Matter, Page iii
Copyright, Page iv
Preface, Pages ix-x
Acknowledgements, Pages xi-xii
1 - Introduction, Pages 1-8
2 - Background, Pages 9-20
3 - Formulation, Pages 21-31
4 - Solving the Image Flow Equations, Pages 32-56
5 - Using Temporal Information: Rigid Motion, Pages 57-66
6 - The General Formulation, Pages 67-74
7 - Error Sensitivity and Numerical Examples, Pages 75-82
8 - Conclusions, Pages 83-84
Appendix-A - Expressing a surface in terms of image coordinates, Pages 85-86
Appendix-B - Some degenerate cases and conditions, Pages 87-90
Appendix-C - Solving the image flow equations: planar surfaces, Pages 91-101
Appendix-D - Nature of solutions for planar surfaces, Pages 102-104
Appendix-E - Resolving the ambiguity of interpretation: planar surfaces, Pages 105-111
Appendix-F - Solving the image flow equations: curved surfaces, Pages 112-114
Appendix-G - Conditions for multiple interpretations: curved surfaces, Pages 115-124
Appendix-H - Solving for ฮธ when the direction of V changes, Pages 125-126
Appendix-I - Solving for r and ฮธ when the camera tracks a point, Page 127
Appendix-J - Surface deformation parameters, Pages 128-129
Bibliography, Pages 130-137
Index, Pages 138-139
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