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Afzal A. Godil, Patrick J. Grother, Sanford P. Ressler
Abstract
In this paper, we investigate the utility of static anthropometric distances as a biometric for human identification. The 3D landmark data from the CAESAR database is used to form a simple biometric consisting of distances between fixed rigidly connected body locations. This biometric is overt, and invariant to view and body posture. We use this to quantify the asymmetry of human bodies, and to characterize the interpersonal and intrapersonal distance distributions. The former is computed directly and the latter by adding zero-mean gaussian noise to the landmark points. This simulation framework is applicable to arbitrary shape based biometric. We use gross body proportions information to model a computer vision recognition system.
Proceedings Title
The Fourth International Conference on 3D Digital Imaging and Modeling
Volume
2003
Issue
4th
Conference Dates
October 1, 2003
Conference Location
Alberta, CA
Conference Title
International Conference on 3D Digital Imaging and Modeling
3D anthropometric, biometric, CAESAR database, GAIT, human identification
Citation
Godil, A.
, Grother, P.
and Ressler, S.
(2003),
Human Identification from Body Shape, The Fourth International Conference on 3D Digital Imaging and Modeling, Alberta, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=50758
(Accessed October 11, 2025)