Automatic 3D modeling of skulls by scatter search and heuristic features

Lucia Ballerini, Oscar Cordón, Sergio Damas, José Santamaria

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

In this work we propose the use of heuristic features to guide an evolutionary approach for 3D range image registration in forensic anthropology. The aim of this study is assist to the forensic experts in one of their main tasks: the cranio-facial identification. This is usually done by the superimposition of the 3D model of the skull on a facial photograph of the missing person. In this paper we focus on the first stage: the automatic construction of an accurate model of the skull. Our method includes a pre-alignment stage, that uses a scatter-search based algorithm and a refinement stage. In this paper we propose a heuristic selection of the starting points used by the algorithm. Results are presented over a set of instances of real problems.
Original languageEnglish
Title of host publicationApplications of Soft Computing
Subtitle of host publicationUpdating the State of Art
PublisherSpringer Berlin Heidelberg
Pages149-158
Number of pages10
ISBN (Electronic)978-3-540-88079-0
ISBN (Print)978-3-540-88078-3
DOIs
Publication statusPublished - 2009

Publication series

NameAdvances in Soft Computing
PublisherSpringer Berlin Heidelberg
Volume52
ISSN (Print)1867-5662

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