Statistical Optimization for Geometric Computation: Theory and Practice - Paperback
Statistical Optimization for Geometric Computation: Theory and Practice - Paperback
Description
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.
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