Title Statistical optimization for geometric computation : theory and practice / Kenichi Kanatani

Published Amsterdam ; New York : Elsevier, 1996

Copies

Location	Call no.	Vol.	Availability
MELB	006.420151954 Kan/Sof		AVAILABLE

Description xiv, 509 pages : illustrations ; 23 cm Series Machine intelligence and pattern recognition ; v. 18 Machine intelligence and pattern recognition ; v. 18 Contents 1. Introduction -- 2. Fundamentals of Linear Algebra -- 3. Probabilities and Statistical Estimation -- 4. Representation of Geometric Objects -- 5. Geometric Correction -- 6. 3-D Computation by Stereo Vision -- 7. Parametric Fitting -- 8. Optimal Filter -- 9. Renormalization -- 10. Applications of Geometric Estimation -- 11. 3-D Motion Analysis -- 12. 3-D Interpretation of Optical Flow -- 13. Information Criterion for Model Selection -- 14. General Theory of Geometric Estimation Analysis Machine vision Bibliography Includes bibliographical references (pages 485-499) and index SUBJECT Kluwer international series in engineering and computer science. Robotics. http://id.loc.gov/authorities/names/n84723839 Subject Computer vision. Mathematical statistics. Robotics. Statistics. Author ScienceDirect (Online service) LC no. 96000207 ISBN 0444824278 (acid-free paper)

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