A study of the suitability of evolutionary computation in 3D modeling of forensic remains

Authors:
José Santamaría;Oscar Cordón;Sergio Damas;José M. García-Torres;Fernando Navarro
Affiliations:
Dept. Computer Science, University of Jaén, Spain;European Centre for Soft Computing, Asturias, Spain and Dept. Computer Science and Artificial Intelligence, University of Granada, Spain;European Centre for Soft Computing, Asturias, Spain;SCI2S Research Group, University of Granada, Spain;Physical Anthropology Lab, University of Granada, Spain
Venue:
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Year:
2011

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Abstract

Image registration is a fundamental task in computer vision. Over the last decades, it has been applied to a broad range of situations from remote sensing to medical imaging, artificial vision, and CAD systems. In the last few years, there is an increasing interest in the application of the evolutionary computation paradigm to this task in order to solve the ever recurrent drawbacks of classical image registration methods. In this work, we will perform an experimental study on the performance of the most relevant evolutionary image registration methods proposed to date tackling a challenging real-world problem named 3D model reconstruction using laser range scanners. Specifically, we will make use of image datasets of human skulls provided by the Physical Anthropology Lab of the University of Granada, Spain.