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by Kenichi Kanatani (Author)

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.

Number of Pages: 528
Dimensions: 1.1 x 8.4 x 5.4 IN
Illustrated: Yes
Publication Date: July 26, 2005
  • Name : Statistical Optimization for Geometric Computation: Theory and Practice - Paperback
  • Vendor : BooksCloud
  • Type : Books
  • Manufacturing : 2025 / 12 / 30
  • Barcode : 9780486443089
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    Statistical Optimization for Geometric Computation: Theory and Practice - Paperback
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