Statistical Optimization for Geometric Computation: Theory and Practice
Автор:Kenichi Kanatani Год: 2005 Издание:Dover Publications Страниц: 528 ISBN: 0486443086 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. 1996 edition.
