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3DIM
2003
IEEE

Human Identification from Body Shape

13 years 9 months ago
Human Identification from Body Shape
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 biometrics. We use gross body proportions information to model a computer vision recognition system.
Afzal Godil, Patrick Grother, Sandy Ressler
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where 3DIM
Authors Afzal Godil, Patrick Grother, Sandy Ressler
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