A Multi-Modality Computer-Aided Framework Towards Postmortem Identification
Author(s) -
Andreas Mang,
Jan Müller,
Thorsten M. Buzug
Publication year - 2006
Publication title -
journal of computing and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 27
eISSN - 1846-3908
pISSN - 1330-1136
DOI - 10.2498/cit.2006.01.02
Subject(s) - computer science , modality (human–computer interaction) , image warping , artificial intelligence , computer vision , segmentation , identification (biology) , representation (politics) , pattern recognition (psychology) , botany , politics , political science , law , biology
A multi-modality framework for forensic soft-facial reconstruction based on computed tomography (CT) and magnetic resonance imaging (MRI) is presented. CT is used to acquire a virtual representation of a skull find and MRI templates provide the desired soft-tissue information to produce a facial likeness of a deceased individual. Two main strategies are described. The first is based on a regularized non-linear warping technique using radial basis functions known as thin-plate splines in 3D space. The second is an automatic segmentation scheme based on active contours, which will provide a facial template that can be morphed onto the CT of the skull find. These approaches are presented in the framework of forensic workplace
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