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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)

Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)

Statistical Optimization for Geometric Computation: Theory and Practice (Dover
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics) Paperback - 2005

by Kanatani, Kenichi

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Dover Publications, 2005-07-26. Illustrated. paperback. New. 5.40x1.10x8.40. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
  • Author Kanatani, Kenichi
  • Binding Paperback
  • Edition Illustrated
  • Condition New
  • Pages 528
  • Volumes 1
  • Language ENG
  • Publisher Dover Publications
  • Publication date 2005-07-26
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # DADAX0486443086
  • ISBN 9780486443089 / 0486443086
  • Weight 1.2 lbs (0.54 kg)
  • Dimensions 8.4 x 5.4 x 1.1 in (21.34 x 13.72 x 2.79 cm)
  • Size 5.40x1.10x8.40
  • Category Computers - General Information
  • Library of Congress subjects Robotics, Mathematical statistics
  • Library of Congress Catalogue Number 2005042844
  • Dewey Decimal Code 006.420
  • Quantity available 10

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Reader reviews for Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)

From the publisher

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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