Statistical Optimization for Geometric Computation: Theory and Practice (Machine Intelligence and Pattern Recognition, 18, Band 18) - Hardcover

Kanatani, Kenichi

Hardcover

ISBN 10: 0444824278 ISBN 13: 9780444824271

Verlag: North-Holland, 1996

Inhaltsangabe

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.

Details zur Ausgabe

• Verlag: North-Holland
• Erscheinungsdatum: 1996
• Sprache: Englisch
• ISBN 10: 0444824278
• ISBN 13: 9780444824271
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 509
• Kontakt zum Hersteller: Elsevier GmbH; https://www.elsevier.com/; ; Jägerstraße 41; Berlin; Berlin; 10117; Deutschland