Computer-Graphic Facial Reconstruction

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.

- Covers cutting-edge technologies in the context of historical forensic reconstruction methods
- Features stellar authors from around the globe
- Bridges the areas of computer graphics, animation, and forensic anthropology

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