Statistical Optimization for Geometric Computation: Theory and Practice: Volume 18 - Rilegato

Kanatani, Kenichi

Rilegato

ISBN 10: 0444824278 ISBN 13: 9780444824271

Casa editrice: Elsevier Science Ltd, 1996

Riassunto

Discusses the mathematical foundations of statistical inference for building a three-dimensional model of the environment from image and sensor data that contain noise, a task required of autonomous robots guided by video cameras and sensors. Derives a theoretical accuracy bound for the optimization procedure to maximize the reliability of the estimation based on noise data, and also the practical computation schemes to attain that bound. Includes examples of both synthetic and real data to demonstrate that conventional methods are not optimal and how accuracy improves if truly optimal methods are used. Annotation c. by Book News, Inc., Portland, Or.

Dettagli dell'edizione

• Editore: Elsevier Science Ltd
• Data di pubblicazione: 1996
• Lingua: Inglese
• ISBN 10: 0444824278
• ISBN 13: 9780444824271
• Rilegatura: Copertina rigida
• Numero di pagine: 509
• Contatto del produttore: Elsevier GmbH; https://www.elsevier.com/; ; Jägerstraße 41; Berlin; Berlin; 10117; Germania