Robust Range Image Registration Using Genetic Algorithms and the Surface Interpenetration Measure

- Provides a comprehensive review of the literature in range image registration and serves as an effective study guide on this important topic- Presents a novel robust error measure, the surface interpretation, which is easily computed and offers significant immunity to non-Gaussian errors. The shortcomings of the least squares formalism in this setting are carefully explored- The first substantive work focusing on precision alignment, and the first capable of attaining such alignments in low-overlap scenarios without human intervention or manual prealignment- Offers extensive experimental results, highlighting both the impact of robust measures, and the relative efficiency of genetic search algorithms versus more traditional approaches. Extensive comparisons with more traditional algorithms and measures are presentedSilva, Luciano is the author of 'Robust Range Image Registration Using Genetic Algorithms and the Surface Interpenetration Measure', published 2004 under ISBN 9789812561084 and ISBN 9812561080.