Механика

Список источников > Нехудожественная литература > Научная и техническая литература > Естественные науки > Физико-математические науки > Механика

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.
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