Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Human Identification from Body Shape

Published

Author(s)

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

Keywords

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 June 6, 2023)
Created October 1, 2003, Updated February 17, 2017