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Human Identification from Body Shape



Afzal A. Godil, Patrick J. Grother, Sanford P. Ressler


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
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


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], (Accessed February 29, 2024)
Created October 1, 2003, Updated February 17, 2017