Abstract
This paper presents a method for automatically pair-wise registering range images. Registration is effected adding chaos to a Differential Evolution technique and by applying the Grid Closest Point algorithm to find the best possible transformation of the second image causing 3D reconstruction of the original object. Experimental results show the capability of the method in picking up efficient transformations of images with respect to the classical Differential Evolution. The proposed method offers a good solution to build complete 3D models of objects from 3D scan datasets. © Springer-Verlag Berlin Heidelberg 2013.
Cite
CITATION STYLE
De Falco, I., Della Cioppa, A., Maisto, D., Scafuri, U., & Tarantino, E. (2013). Adding chaos to differential evolution for range image registration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7835 LNCS, pp. 344–353). Springer Verlag. https://doi.org/10.1007/978-3-642-37192-9_35
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