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Statistical Optimization For Geometric Computation: Theory And Practice - Couverture souple

Livre 5 sur 303: Dover Books on Mathematics

Kanatani, Kenichi

 
9780486443089: Statistical Optimization For Geometric Computation: Theory And Practice

Synopsis

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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