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.

Author: Kenichi Kanatani
Publisher: Dover Publications
Published: 07/26/2005
Pages: 509
Binding Type: Paperback
Weight: 1.20lbs
Size: 8.40h x 5.40w x 1.10d
ISBN13: 9780486443089
ISBN10: 0486443086
BISAC Categories:
- Computers | Optical Data Processing
- Mathematics | Reference

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