Robust range image registration : using genetic algorithms and the surface interpenetration measure

Luciano Silva and Olga R.P. Bellon, Kim L. Boyer

This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling.

「Nielsen BookData」より


  • Range Image Registration
  • Surface Interpenetration Measure (SIM)
  • Range Image Registration using Genetic Algorithms
  • Robust Range Registration by Combining GAs and the SIM
  • Multiview Range Image Registration.

「Nielsen BookData」より


書名 Robust range image registration : using genetic algorithms and the surface interpenetration measure
著作者等 Bellon, Olga R. P.
Boyer, Kim L.
Silva, Luciano
シリーズ名 Series in machine perception and artificial intelligence
出版元 World Scientific
刊行年月 c2005
ページ数 x, 164 p.
大きさ 24 cm
ISBN 9812561080
NCID BB27227391
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言語 英語
出版国 シンガポール