Statistical Optimization for Geometric Computation: Theory and Practice/

Kanatani,Kenichi

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.

0486443086


Robotics.
Computer vision.
Mathematical statistics.

006.4201519 / KAN/S