December 2014
Intermediate to advanced
640 pages
19h 7m
English
book
Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
by Leonidas Deligiannidis, Hamid R Arabnia
Content preview from Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
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Chapter 32
Surface registration by markers guided nonrigid iterative closest points algorithm
Dominik Spinczyk Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland
Abstract
The problem of matching irregular surfaces was tested with additional markers as landmarks for the extension of the nonrigid iterative closest points algorithm. The general idea of presented approach was to take into account knowledge about markers' positions not only in computing transformation phase but also in finding correspondence phase in every algorithm's iteration. Four variants of retrieving correspondence were implemented and compared: the Euclidean distance, normal vectors with initial rigid registration, static and dynamic ...
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