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Research On The Technique Of Face Modeling Based On Skeletal Remains And Appliance To Forensic Facial Reconstruction

Posted on:2007-10-02Degree:MasterType:Thesis
Country:ChinaCandidate:K LiFull Text:PDF
GTID:2178360182494715Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Face is the most expressive part of human being. Building realistic 3D face models is a challenging task in the field of computer graphics. The technique of face modeling based on skeletal remains mainly appliances in the process of the identification of human remains in forensic science. People are paying more attention to the face modeling because it improves the efficiency and quality of the traditional facial reconstruction methods.This thesis presents the basic methods and key processes of facial reconstruction of discovered remains based on the database of referring models by using the computer visualization technology. It mainly includes:1) Building of the database of referring models. The thesis adopts the surface restoring method based on CT data to get the referring models of face and skeleton. Based on the information of the referring models, this thesis set up the database of referring model. This database provides the foundation of reconstruction.2) Feature points definition and detection. On the basis of facial structure and the definition of MPEG-4's FDP, we define a set of feature point for facial and skeletal 3d model.3) Research of 3d mesh morphing method. We calculate the differences between referring facial model and the discovered facial model, by measuring the differences between the feature points of referring skeletal model and the feature points of discovered skeletal model. Generating the discovered facial model by morphing the referring facial model based on the differences.4) Besides theory research, we also built a computer-aided facial reconstruction system, FacePro, by Visual C++ 6 and OpenGL 3d graphics library for the forensic facial reconstruction. The correctness and high efficiency of the algorithms in this thesis are proven by the system.
Keywords/Search Tags:Facial Reconstruction, CT Data, Mesh Morphing, Radial Basis Functions, Feature Point Detection
PDF Full Text Request
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