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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, 2006 E R Dumont Mid-facial tissue depths of white children: An aid to facial feature reconstruction J Forensic Sci, 1986 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 R M George The lateral craniographic method of facial reconstruction Journal of Forensic Sciences, 32(5):1305-1330, 1987 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 R Grothmann Multi-Agent Market Modeling based on Neural Net works Ph.D thesis, Faculty of Economics, University of Bremen, Germany, 2002 10 S Haykin Neural Networks A Comprehensive Foundation Macmillan College Publishing, New York, 1994 11 Martin T Hagan, Howard B Demuth, and Mark H Beale Neural Network Design PWS Publishing Company, Boston, Massachusetts, 1996 12 L S Hodson, Lieberman, and P Wright In vivo measurement of facial thickness in american caucasoid children J Forensic Sci, 1985 13 Mark W Jones Facial reconstruction using volumetric data Proceedings of the Vision Modeling and Visualization Conference 2001, pages 135-150, November 2001 14 Kolja Kahler, Jorg Haber, and Hans-Peter Seidel Reanimating the dead: reconstruction of expressive faces from skull data ACM Transactions on Graphics (TOG), 22(3):554561, 2003 15 Wilton Marion Krogman The reconstruction of the living head from the skull FBI Law Enforcement Bulletin, 15(7):1-8, July 1946 16 M H Manhein, G A Listi, R E Barsley, Musselman R., N E Barrow, and D H Ubelaker In vivo facial tissue depth measurements for children and adults Journal of Forensic Sciences, 45(1):48-60, 2000 17 Pascal Paysan, Marcel Luthi, Thomas Albrecht, Anita Lerch, Brian Amberg, Francesco Santini, and Thomas Vetter Face Reconstruction from Skull Shapes and Physical Attributes 5748:232-241, 2009 18 V M Phillips and N A Smuts Facial reconstruction: Utilization of computerized tomography to measure facial tissue thickness in a mixed racial population Forensic Sci Int., 83:51-59, 1996 19 Stanley Rhine Tissue thickness measures: American caucasoids, american blacks, southwestern indians Physical Anthropology Laboratories, Maxwell Museum of Anthropology, University of New Mexico, 1984.N Stephan and J Cicolini Tallied facial soft tissue depth data (tfstdd), 2010 20 Sahni, I Jit, M Gupta, P Singh, S Suri, Sanjeev, and H Kaur Preliminary study on facial soft tissue thickness by magnetic resonance imaging in northwest indians Forensic Science Communications, 4, 2002 21 J Vander Pluym, W W Shan, Z Taher, C Beaulieu, C Plewes, A E Peterson, O B Beattie, and J S Bamforth Use of magnetic resonance imaging to measure facial soft tissue depth Cleft Palate-Craniofacial Journal, 44:52-57, 2007 22 H Welcker Schiller’s schdel und todenmaske, nebst mittheilungen ber schdel und todenmaske kants 1883 23 [Wil04] 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
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