Evolutionary approaches for automatic 3D modeling of skulls in forensic identification

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Abstract

Photographic supra-projection is a complex and uncertain process that aims at identifying a person by overlaying a photograph and a model of the skull found. The more accurate the skull model is the more reliable the identification decision will be. Usually, forensics are obliged to perform a manual and time consuming process in order to obtain the model of the scanned forensic object. At least semiautomatic methods are demanded by these experts to assist them with this task. Our contribution aims to propose an evolutionary-based image registration methodology for the skull 3D model building problem. Experiments are performed over thirty two problem instances corresponding to a semiautomatic and fully automatic real skull model reconstruction. © Springer-Verlag Berlin Heidelberg 2007.

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Santamaría, J., Cordón, O., & Damas, S. (2007). Evolutionary approaches for automatic 3D modeling of skulls in forensic identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4448 LNCS, pp. 415–422). Springer Verlag. https://doi.org/10.1007/978-3-540-71805-5_46

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