Statistical Optimization for Geometric Computation: Theory and Practice

Statistical Optimization for Geometric Computation: Theory and Practice book cover

Statistical Optimization for Geometric Computation: Theory and Practice

Author(s): Kenichi Kanatani (Author)

  • Publisher: Dover Publications Inc.
  • Publication Date: 29 July 2005
  • Edition: Illustrated
  • Language: English
  • Print length: 528 pages
  • ISBN-10: 9780486443089
  • ISBN-13: 9780486443089

Book Description

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.

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