Statistical Optimization for Geometric Computation: Theory and Practice/
by Kenichi Kanatani
- New York: Dover Publications, 1996.
- xviii,509 p. : illu. ; 21 cm
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. ReNormalisation-- 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.