Computer-Graphic Facial Reconstruction

John G. Clement, Murray K. Marks

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Description:

This unique books looks at a cost-efficient, fast and accurate means of facial reconstruction--from segmented, decomposed, or skeletal remains--using computer-graphic and computational means.

Computer-Graphic Facial Reconstruction is designed as a valuable resource for those scientists designing new research projects and protocols, as well as a practical handbook of methods and techniques for medico-legal practitioners who actually identify the faceless victims of crime. It looks at a variety of approaches: artificial intelligence using neural networks, case-based reasoning, Baysian belief systems, along with a variety of imaging methods: radiological, CT, MRI and the use of imaging devices.

The methods described in this book complement, or may even replace, the less-reliable, more traditional means of securing identification by presumptive means, i.e., recognition of clothing, personal effects and clay reconstruction.

 

Table of Contents:

Ch. 1 Introduction To Facial Reconstruction, Ch. 2 Classical Non Computer-Assisted Craniofacial Reconstruction, Ch. 3 The Wisdom Of Bones: Facial Approximation On The Skull, Ch. 4 Three-Dimensional Quantification Of Facial Shape, Ch. 5 Automatic 3D Facial Reconstruction By Feature-Based Registration Of A Reference Head, Ch. 6 Two-Dimensional Computer Generated Average Human Face Morphology And Facial Approximation, Ch. 7 Predicting The Most Probable Facial Features Using Bayesian Networks, Mathematical Morphology And Computer Graphics, Ch. 8 Face Reconstructions Using Flesh Deformation Modes, Ch. 9 Digital 3D Reconstruction Of Skulls From Fragments Using SLT And CAD/CAM Tools, Ch. 10 Forensic Facial Reconstruction Using Computer Modeling Software, Ch. 11 Ceiling Recognition Limits Of Two-Dimensional Facial Approximations Constructed Using Averages, Ch. 12 Utilization Of 3D Cephalometric Finite Elements Modeling For Measuring Human Facial Soft Tissue Thickness, Ch. 13 Computer Aided Dental Identification: Developing Objective Criteria For Comparisons Of Oro-Facial Skeletal Characteristics To Prove Human Identity, Ch. 14 Two Methodologies Of Memory Research: “Explanation-Testing” And “Reconstruction,” Ch. 15 Using “Laser Scans” To Study Face Perception, Ch. 16 Investigation Of Ethnic Differences In Facial Morphology By Three-Dimensional Averaging, Ch. 17 Estimation And Animation Of Faces Using Facial Motion Mapping And A 3D Face Database, Ch. 18 Facial Image Identification System Based On 3D Physiognomic Data, Ch. 19 A New Retrieval System Using A 3D Facial Image Database