Statistical Optimization for Geometric Computation
Theory and Practice
By (author) Kenichi Kanatani
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Statistical Optimization for Geometric Computation by Kenichi Kanatani
Book DescriptionThis 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.
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Book DetailsISBN: 9780486443089
(213mm x 137mm x 28mm)
Imprint: Dover Publications Inc.
Publisher: Dover Publications Inc.
Publish Date: 29-Jul-2005
Country of Publication: United States
Books By Author Kenichi Kanatani
Geometric Computation for Machine Vision, Hardback (June 1993)» View all books by Kenichi Kanatani
This book presents computational techniques for machine vision necessary for building intelligent machines which can understand the environment by vision.
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