Statistical optimization for geometric computation. Theory and practice. Kenichi Kanatani

Statistical optimization for geometric computation. Theory and practice



Download Statistical optimization for geometric computation. Theory and practice



Statistical optimization for geometric computation. Theory and practice Kenichi Kanatani. djvu ebook
Publisher: Elsevier Science Ltd
Language: English
Page: 508
ISBN: 0444824278, 9780444824271

This book discusses mathematical foundations of statistical inference for building a 3-D model of the environment from image and sensor data that contain noise - a central task for autonomous robots guided by video cameras and sensors. A theoretical accuracy bound is derived for the optimization procedure for maximizing the reliability of the estimation based on noisy data, and practical computational schemes that attain that bound are derived. Many synthetic and real data examples are given to demonstrate that conventional methods are not optimal and how accuracy improves if truly optimal methods are employed.



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Download Statistical optimization for geometric computation. Theory and practice ebook djvu
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Statistical optimization for geometric computation. Theory and practice ebook
Statistical optimization for geometric computation. Theory and practice download book
Statistical optimization for geometric computation. Theory and practice ebook pdf
Statistical optimization for geometric computation. Theory and practice ebook djvu
Statistical optimization for geometric computation. Theory and practice ebook chm
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