Statistical Optimization for Geometric Computation Theory and Practice

Name: Statistical Optimization for Geometric Computation Theory and Practice
Price: 13.58 USD
Availability: InStock
ISBN: 9780486443089

ISBN-10: 0486443086

ISBN-13: 9780486443089

Edition: 2005

Authors: Kenichi Kanatani

List price: $26.95

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Description:

This text for graduate students discusses the mathematical foundations of statistical inference for building three-dimensional models from image and sensor data that contain noise--a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. The numerous mathematical prerequisites for developing the theories are explained systematically in separate chapters, and examples drawn from both synthetic and real data demonstrate the improvements in accuracy that result from the use of optimal methods. 1996 ed.

Book details

List price: $26.95
Copyright year: 2005
Publisher: Dover Publications, Incorporated
Publication date: 7/26/2005
Binding: Paperback
Pages: 528
Size: 5.50" wide x 8.75" long x 1.25" tall
Weight: 1.232
Language: English




Introduction



Fundamentals of Linear Algebra



Probabilities and Statistical Estimation



Representation of Geometric Objects



Geometric Correction



3-D Computation by Stereo Vision



Parametric Fitting



Optimal Filter



Renormalization



Applications of Geometric Estimation



3-D Motion Analysis



3-D Interpretation of Optical Flow



Information Criterion for Model Selection



General Theory of Geometric Estimation


References


Index