DocumentCode
1872321
Title
Creating a face model from an unknown skull based on the tissue map
Author
Pei, Yuru ; Zha, Hongbin ; Yuan, Zhongbiao
Author_Institution
Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
2088
Lastpage
2091
Abstract
The craniofacial reconstruction is employed as an initialization of the identification in forensics. In this paper we present a tissue map based craniofacial reconstruction technique. The reconstruction is formulated as the superimposition of the selected tissue map onto the novel skull. The key problem is the accurate map registration, which is implemented as a warping guided by 2D feature patterns. Given a novel skull, the feature patterns are extracted automatically under an energy minimization framework. The feature configuration on the warped tissue map is expected to resemble that on the novel skull. The target facial model is reconstructed by a smooth interpolation of the point cloud, which results from a simple addition of range images. The presented experiments demonstrate the facial outlook can be reconstructed from the tissue map feasibly and efficiently.
Keywords
face recognition; feature extraction; image reconstruction; image registration; interpolation; 2D feature pattern; craniofacial reconstruction; energy minimization; face model; feature configuration; feature extraction; forensics; map registration; point cloud; skull; smooth interpolation; tissue map; Computed tomography; Feature extraction; Forensics; Image reconstruction; Radial basis function networks; Sampling methods; Shape; Skull; Surface fitting; Surface reconstruction; Geometric modeling; Pattern matching; Surface fitting; image registration;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712198
Filename
4712198
Link To Document