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

Kenichi Kanatani

ISBN 10: 0486443086 / ISBN 13: 9780486443089

Published by Dover Publications, New York, 2005

About this Item

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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780486443089

Bibliographic Details

• Title: Statistical Optimization for Geometric Computation: Theory and Practice (Paperback)
• Publisher: Dover Publications, New York
• Publication Date: 2005
• Language: English
• ISBN 10: 0486443086
• ISBN 13: 9780486443089
• Binding: Paperback
• Condition: new

About this title

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.