Automatic discovery of connections between Vietnamese's anthropometric features Đinh Quang Huy Trường Đại học Công nghệ Luận văn Thạc sĩ ngành: Khoa học máy tính; Mã số: 60 48 01 Người hướng dẫn: PGS.TS Bùi Thế Duy Năm bảo vệ: 2010 Keywords: Phép nhân trắc; Nhận dạng; Người Việt Nam Content Table of Contents Introduction 1.1 Overview and Motivation 1.2 Our Contributions 1.3 Thesis Organization 1 2 Background 2.1 Previous Work in Facial Reconstruction From Skulls 2.1.1 2D Reconstruction 2.1.2 Manual 3D Reconstruction 2.1.3 Computer-Aided Reconstruction 2.2 Facial Reconstruction Systems 2.2.1 System developed by Bjorn Anderson, MartinValfridsson in 2005 4 2.3 2.4 2.2.2 2.2.3 System developed by Kolja Kahler and Jorg Haber FACES - software developed by Salerno University, Italy 10 Facial Landmarks 10 Important Facial Features 12 2.4.1 Ears 13 2.5 2.6 2.4.2 2.4.3 2.4.4 Eyes 13 Nose 13 Lips 13 Soft tissue thickness studies 13 Available Soft Tissue Thickness Data 15 Automatic discovery of connections between Vietnamese’s anthropometric features 16 3.1 Data description 16 3.2 Data collecting 19 3.3 Discovery of anthropometric relationships using linear regression 23 3.4 Discovery of anthropometric relationships using neural networks 25 3.4.1 Select network structure 25 3.4.2 Initialize and train the network 26 Evaluation and Result 29 Conclusions and Future Work 35 References: Katrina Marie Archer Craniofacial reconstruction using hierarchical b-spline interpolation The University of British Columbia, 1997 David William Bullock Computer Assisted 3D Craniofacial Reconstruction The University of British Columbia, 1999 Matthew James Francis Cairns An Investigation into the use of 3D Computer Graphics for Forensic Facial Reconstruction Glasgow University, 2000 S De Greef, Claes P., D Vandermeulen, W Mollemans, P Suetens, and G Willems Large-scale in-vivo caucasian facial soft tissue thickness database for craniofacial reconstruction Journal of Forensic Sciences, 159:126-146, 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Caroline Wilkinson Forensic facial reconstruction Cambridge University Press, 2004 24 Katrina Marie Archer Craniofacial reconstruction using hierarchical b-spline interpolation The University of British Columbia, 1997 25 David William Bullock Computer Assisted 3D Craniofacial Recon struction The University of British Columbia, 1999 26 Matthew James Francis Cairns An Investigation into the use of 3D Computer Graphics for Forensic Facial Reconstruction Glasgow University, 2000 27 S De Greef, Claes P., D Vandermeulen, W Mollemans, P Suetens, and G Willems Large-scale in-vivo caucasian facial soft tissue thickness database for craniofacial reconstruction Journal of Forensic Sciences, 159:126-146, 2006 28 E R Dumont Mid-facial tissue depths of white children: An aid to facial feature reconstruction J Forensic Sci, 1986 29 I.H El-Mehallawi and E M Soliman Ultrasonic assessment of facial soft tissue thicknesses in adult egyptians Journal of Forensic Sciences, 117(1-2):99-107, 2001 30 R M George The lateral craniographic method of facial reconstruction Journal of Forensic Sciences, 32(5):1305-1330, 1987 31 Graves, M Liwicki, S Fernandez, R Bertolami, H Bunke, and J Schmidhuber A novel connectionist system for improved unconstrained handwriting recognition IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(5), 2009 ... 13 Soft tissue thickness studies 13 Available Soft Tissue Thickness Data 15 Automatic discovery of connections between Vietnamese’s anthropometric features 16 3.1 Data description... description 16 3.2 Data collecting 19 3.3 Discovery of anthropometric relationships using linear regression 23 3.4 Discovery of anthropometric relationships using neural networks... facial soft tissue thickness database for craniofacial reconstruction Journal of Forensic Sciences, 159:126-146, 2006 E R Dumont Mid-facial tissue depths of white children: An aid to facial feature