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Proceedings Paper

A new usage of ASIFT for the range image registration
Author(s): Chun-Yang Liu; Dong Li; Jin-Dong Tian
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Paper Abstract

This paper addresses the range image registration problem for views having overlapping area and which may include substantial noise. The current state of the art in range image registration is best represented by the well-known iterative closest point (ICP) algorithm and numerous variations on it. Although this method is effective in many domains, it nevertheless suffers from two key limitations: It requires prealignment of the range surfaces to a reasonable starting point and it is not robust to outliers arising either from noise or low surface overlap. This paper proposes a new approach that avoids these problems for precision range image registration, by using a new, robust method based on ASIFT followed by ICP. Up to now, this approach has been evaluated by experiment. We define the fitness function to calculate the time for the convergence stage of ICP, because the time required is very important. ASIFT are capable of image matching even when there is fully affine variant. The novel ICP search algorithm we present following ASIFT offers much faster convergence than prior ICP methods, and ensures more precise alignments, even in the presence of significant noise, than mean squared error or other well-known robust cost functions.

Paper Details

Date Published: 13 November 2014
PDF: 7 pages
Proc. SPIE 9276, Optical Metrology and Inspection for Industrial Applications III, 92761Y (13 November 2014); doi: 10.1117/12.2072047
Show Author Affiliations
Chun-Yang Liu, Shenzhen Univ. (China)
Dong Li, Shenzhen Univ. (China)
Jin-Dong Tian, Shenzhen Univ. (China)


Published in SPIE Proceedings Vol. 9276:
Optical Metrology and Inspection for Industrial Applications III
Sen Han; Toru Yoshizawa; Song Zhang, Editor(s)

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