Motion and Structure from Image Sequences
Published on 7. March 2013
XV, 444 pages
978-3-642-77643-4 (ISBN)
Description
Motion and Structure from Image Sequences is invaluable
reading for researchers, graduate students, and practicing
engineers dealing with computer vision. It presents a
balanced treatment of the theoretical and practical issues,
including very recent results - some of which are published
here for the first time.
The topics covered in detail are:
- image matching and optical flow computation
- structure from stereo
- structure from motion
- motion estimation
- integration of multiple views
- motion modeling and prediction
Aspects such as uniqueness of the solution, degeneracy
conditions, error analysis, stability, optimality, and
robustness are also investigated. These details together
with the fact that the algorithms are accessible without
necessarily studying the rest of the material, make this
book particularly attractive to practitioners.
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Juyang Weng | Thomas S. Huang | Narendra Ahuja
Motion and Structure from Image Sequences
Book
12/1992
Springer
€85.55
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Content
1. Introduction.- 1.1 Formulation of the Problem.- 1.2 Overview of Recent Progress.- 1.3 Bibliographical Notes.- 2. Image Matching.- 2.1 Approaches to Establishing Correspondences.- 2.2 An Approach to Image Matching.- 2.3 Algorithm.- 2.4 Motion and Structure Computation.- 2.5 Refinements.- 2.6 Examples.- 2.7 Summary.- 2.8 Bibliographical Notes.- 3. Two-View Analysis.- 3.1 Some Basic Issues.- 3.2 An Algorithm.- 3.3 Error Estimation.- 3.4 Error Analysis.- 3.5 Performance.- 3.6 Summary.- 3.7 Bibliographical Notes.- Appendix 3.A Perturbation of Eigenspace.- Appendix 3.B Quaternions.- Appendix 3.C Alternative Fitting.- 4. Optimization.- 4.1 Motivations.- 4.2 Stability of Linear Algorithms.- 4.3 Maximum Likelihood Estimation.- 4.4 A Two-Step Approach and Computation.- 4.5 Minimum Variance Estimation.- 4.6 Error Estimation and Error Bounds.- 4.7 Batch and Sequential Methods.- 4.9 Summary.- 4.10 Bibliographical Notes.- Appendix 4.A Decomposability.- Appendix 4.B Weights.- Appendix 4.C Triangulation with Noise.- Appendix 4.D Matrix Derivatives.- Appendix 4.E Cramér-Rao Bound.- 5. Planar Scenes.- 5.1 Planar Scene as a Degenerate Case.- 5.2 Motion from a Plane.- 5.3 Inherent Uniqueness.- 5.4 Examples.- 5.5 Conclusions.- 5.6 Bibliographical Notes.- Appendix 5.A Conditions on the Rank of A.- Appendix 5.B Two Solutions from F.- Appendix 5.C Plane-Perceivable Surfaces.- Appendix 5.D Condition on Consistent Normals.- Appendix 5.E Two-View Algorithm.- Appendix 5.F Error Estimation.- 6. From Line Correspondences.- 6.1 Lines as Features.- 6.2 Solution and Algorithm.- 6.3 Degeneracy.- 6.4 Optimization.- 6.5 Simulations.- 6.6 Conclusions and Discussions.- 6.7 Bibliographical Notes.- Appendix 6.A Ranks.- Appendix 6.B Unique Consistent Assignment.- Appendix 6.C Degeneracy.- Appendix 6.DDistinct Locations Are Necessary.- Appendix 6.E Alternative Degeneracy Condition.- 7. Stereo.- 7.1 Stereo Camera Systems.- 7.2 Stereo Triangulation.- 7.3 Closed-Form Solution.- 7.4 Iterative Optimal Solution.- 7.5 Outliers and Robust Estimators.- 7.6 Examples.- 7.7 Without Stereo Correspondences.- 7.8 Long Image Sequences.- 7.9 Conclusions.- 7.10 Bibliographical Notes.- Appendix 7.A MWCC Theorem.- Appendix 7.B Least-Squares Matrix Fitting.- 8. Motion Modeling and Prediction.- 8.1 Coherence of Motion.- 8.2 The LCAM Model.- 8.3 Estimation and Prediction.- 8.4 Monocular Vision.- 8.5 Optimization.- 8.6 Experimental Examples.- 8.7 Summary.- 8.8 Bibliographical Notes.- Appendix 8.A Solution of Coefficient Equations.- Appendix 8.B Rotation without Precession.- Appendix 8.C Singularity of the Matrix.- References.
