Statistical Optimization for Geometric Computation: Theory and Practice (Paperback)

Kenichi Kanatani

ISBN 10: 0486443086 / ISBN 13: 9780486443089

Edité par Dover Publications, New York, 2005

A propos de cet article

Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780486443089

Détails bibliographiques

Titre : Statistical Optimization for Geometric ...

Éditeur : Dover Publications, New York

Date d'édition : 2005

Reliure : Paperback

Etat : new

A propos de ce titre

Synopsis :

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.