Evolutionary Image Registration in Craniofacial Superimposition: Modeling and Incorporating Expert Knowledge

Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9868)

Abstract

Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mortem images of an individual and the analysis of their morphological correspondence. This research focused on the skull-face overlay stage with the aim of modeling the expert knowledge that is related to the existing anthropometric differences among landmarks and incorporating it into this stage. Consequently, we have moved from a single-objective optimization problem to a multiobjective optimization one aimed to reduce the distances between pairs of landmarks from each group independently. To tackle it, two classic approaches from the area of multicriteria decision making were used: weighted sum and lexicographical order. The results, which were obtained over a Ground Truth dataset, are promising in those cases where the forensic expert has located a large number of landmarks, and worse results than the state of the art method in cases with few landmarks.

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Notes

Acknowledgments

This research was supported by the Spanish Ministerio de Economía y Competividad under NEWSOCO project TIN2015-67661-P, and the Andalusian Dept. of Innovación, Ciencia y Empresa under project TIC2011-7745, including European Development Regional Funds (EDRF). Mr. O. Gomez’s work was supported by Spanish MECD FPU grant FPU14/02380. Dr. Ibañez’s work was supported by Spanish MINECO Juan de la Cierva Fellowship JCI-2012-15359.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Departamento de Ciencias de la Computación e Inteligencia ArtificialCITIC-UGR (Centro de Investigación en Tecnologías de la Información y las Comunicaciones)GranadaSpain
  2. 2.Departamento de Ciencias de la Computación e Inteligencia ArtificialUniversity of GranadaGranadaSpain

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