Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure by Luciano Silva, Kim L. Boyer, Olga R. P. Bellon
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Overview: 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.
Genre: Non-Fiction > Tech & Devices
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