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Statistical Optimization for Geometric Computation: Theory and Practice

Statistical Optimization for Geometric Computation: Theory and Practice - Paperback

by Kenichi Kanatani
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Availability:In StockContributor:Kenichi KanataniSeries:Dover Books on MathematicsPublish date:2005-07-26Pages:528
Language:EnglishPublisher:Dover PublicationsISBN-13:9780486443089ISBN-10:486443086UPC:9780486443089Book Category:Computers, MathematicsBook Subcategory:Optical Data Processing, ReferenceSize:8.40 x 5.40 x 1.10 inchesWeight:1.2015Product ID:SCZ0WT0RCF
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.
Language:EnglishPublisher:Dover PublicationsISBN-13:9780486443089ISBN-10:486443086UPC:9780486443089Book Category:Computers, MathematicsBook Subcategory:Optical Data Processing, ReferenceSize:8.40 x 5.40 x 1.10 inchesWeight:1.2015Product ID:SCZ0WT0RCF
Publisher: Dover Publications

Contributor(s)

Kenichi Kanatani

Author

Kenichi Kanatani

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