Computer-Graphic Facial Reconstruction


John G. Clement, Centre for Human Identification, Victorian Institute of Forensic Medicine, and School of Dental Science, UO Melbourne, Australia;
Murray K. Marks, DO Anthropology, UO Tennessee, and DO of Pathology, University of Tennessee Medical Center, US

Book 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.- 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

Editorial Reviews

Book Description

A full spectrum of high-level technical information on computer graphics of human faces

About the Author

By Murray Marks and John Clement

Product Details

  • Hardcover: 384 pages
  • Publisher: Academic Press; 1 edition (August 29, 2005)
  • Language: English
  • ISBN-10: 0124730515
  • ISBN-13: 978-0124730519
  • Product Dimensions: 9.7 x 7.5 x 1.2 inches
  • Shipping Weight: 3.2 pounds


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5 Responses

  1. the link is broken…
    could you please re upload it?
    thanks a lot

  2. link is offline

  3. the link is broken please re-upload

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