U.S. flag

An official website of the United States government, Department of Justice.

NCJRS Virtual Library

The Virtual Library houses over 235,000 criminal justice resources, including all known OJP works.
Click here to search the NCJRS Virtual Library

Using Multi-instance Enrollment to Improve Performance of 3D Face Recognition

NCJ Number
304486
Journal
Computer Vision and Image Understanding Volume: 112  Issue: 2 Dated: Nov 2008 Pages: 114-125
Author(s)
Timothy C. Faltemier; Kevin W. Bowyer; Patrick J. Flynn
Date Published
November 2008
Length
12 pages
Annotation

This study explored the use of multi-instance enrollment as a means to improve the performance of 3D face recognition.

Abstract

Experiments were performed using the ND-2006 3D face data set, which contains 13,450 scans of 888 subjects. This is the largest 3D face data set currently available and contains a substantial amount of varied facial expression. Results indicate that the multi-instance enrollment approach outperforms a state-of-the-art component-based recognition approach, in which the face to be recognized is considered as an independent set of regions. (Publisher Abstract)