Book: Statistical Optimization For Geometric Computation: Theory And Practice 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.
Details of Book: Statistical Optimization For Geometric Computation: Theory And Practice Book: Statistical Optimization For Geometric Computation: Theory And Practice
Author: Kenichi Kanatani
ISBN: 0486443086
ISBN-13: 9780486443089
, 978-0486443089
Binding: Paperback
Publishing Date: Jul 2005
Publisher: Dover Publications
Number of Pages: 509
Language: English