Large-scale in-vivo caucasian facial soft tissue thickness database for craniofacial reconstruction.. Mid-facial tissue depths of white children: An aid to facial feature reconstruction.
Trang 1Automatic 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
1.1 Overview and Motivation 1
1.2 Our Contributions 2
1.3 Thesis Organization 2
2 Background 4 2.1 Previous Work in Facial Reconstruction From Skulls 4
2.1.1 2D Reconstruction 4
2.1.2 Manual 3D Reconstruction 6
2.1.3 Computer-Aided Reconstruction 7
2.2 Facial Reconstruction Systems 8
2.2.1 System developed by Bjorn Anderson, MartinValfridsson in 2005 8
2.2.2 System developed by Kolja Kahler and Jorg Haber 9
2.2.3 FACES - software developed by Salerno University, Italy 10
2.3 Facial Landmarks 10
2.4 Important Facial Features 12
2.4.1 Ears 13
Trang 22.4.2 Eyes 13
2.4.3 Nose 13
2.4.4 Lips 13
2.5 Soft tissue thickness studies 13
2.6 Available Soft Tissue Thickness Data 15
3 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
References:
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The University of British Columbia, 1997
2 David William Bullock Computer Assisted 3D Craniofacial Recon struction The
University of British Columbia, 1999
3 Matthew James Francis Cairns An Investigation into the use of 3D Computer Graphics for Forensic Facial Reconstruction Glasgow University, 2000
4 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
5 E R Dumont Mid-facial tissue depths of white children: An aid to facial feature
reconstruction J Forensic Sci, 1986
6 I.H El-Mehallawi and E M Soliman Ultrasonic assessment of facial soft tissue thicknesses
Trang 3in adult egyptians Journal of Forensic Sciences, 117(1-2):99-107, 2001
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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
Trang 531 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