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

Language: English

Published by Dover Publications, New York, 2005

0486443086 / 9780486443089

Series: Book 5 of 303 - Dover Books on Mathematics

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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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Title
Statistical Optimization for Geometric Computation: Theory and Practice (Paperback)
Author
Kenichi Kanatani
Publisher
Dover Publications, New York
Publication year
2005
Condition
new
Binding
Paperback
Language
English
ISBN 10
0486443086
ISBN 13
9780486443089
Series
Book 5 of 303: Dover Books on Mathematics

CitiRetail

Stevenage, United Kingdom

5-star seller

AbeBooks seller since June 29, 2022

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