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

商品描述(中文翻譯)

描述:
這本獨特的書籍探討了一種成本效益高、快速且準確的面部重建方法,使用電腦圖形和計算方法來處理分割、分解或骨骼遺骸。《電腦圖形面部重建》旨在成為那些設計新研究項目和協議的科學家的寶貴資源,同時也是法醫實踐者的實用手冊,他們實際上確定了無面孔的犯罪受害者。它探討了多種方法:使用神經網絡的人工智能、基於案例的推理、貝葉斯信念系統,以及多種成像方法:放射學、CT、MRI和成像設備的使用。本書中描述的方法可以補充或甚至取代不太可靠的、更傳統的通過推測手段確定身份的方法,例如識別衣物、個人物品和黏土重建。

目錄:
第1章 面部重建簡介,第2章 經典非計算機輔助的頭腦面部重建,第3章 骨頭的智慧:頭骨上的面部近似,第4章 三維面部形狀的量化,第5章 通過基於特徵的參考頭部註冊實現自動三維面部重建,第6章 二維計算機生成的平均人類面部形態和面部近似,第7章 使用貝葉斯網絡、數學形態學和計算機圖形預測最可能的面部特徵,第8章 使用肉體變形模式進行面部重建,第9章 使用SLT和CAD/CAM工具從碎片中進行頭骨的數字三維重建,第10章 使用計算機建模軟件進行法醫面部重建,第11章 使用平均值構建的二維面部近似的天花板識別限制,第12章 使用三維頭腦面部軟組織厚度測量的頭腦面部有限元建模,第13章 電腦輔助牙齒識別:開發客觀標準進行口腔面骨特徵比對以證明人類身份,第14章 記憶研究的兩種方法:「解釋-測試」和「重建」,第15章 使用「激光掃描」研究面部知覺,第16章 通過三維平均化研究不同族裔的面部形態,第17章 使用面部運動映射和三維面部數據庫估計和動畫化面部,第18章 基於三維生理特徵數據的面部圖像識別系統,第19章 使用三維面部圖像數據庫的新檢索系統。

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