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Statistical Optimization for Geometric Computation - Kenichi Kanatani - Bog

- Theory and Practice

Bag om Statistical Optimization for Geometric Computation

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780486443089
  • Indbinding:
  • Paperback
  • Sideantal:
  • 528
  • Udgivet:
  • 29. Juli 2005
  • Størrelse:
  • 214x140x27 mm.
  • Vægt:
  • 560 g.
  • 8-11 hverdage.
  • 19. Oktober 2024

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Statistical Optimization for Geometric Computation

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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