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Statistical Optimization for Geometric Computation: Theory and Practice - Paperback

Statistical Optimization for Geometric Computation: Theory and Practice - Paperback

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by Kenichi Kanatani (Author)

This text discusses the mathematical foundations of statistical inference for building 3-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. 1996 edition.

Number of Pages: 528
Dimensions: 1.1 x 8.4 x 5.4 IN
Illustrated: Yes
Publication Date: July 26, 2005
 
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