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Proceedings Paper

Cross sensor 3D face recognition performance
Author(s): Timothy Faltemier; Kevin Bowyer
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Paper Abstract

This paper considers the effect of using different probe and gallery sensors on the performance of 3D face recognition. We report results of recognition experiments using face scans of 120 different persons, taken with two different commercial scanners, each at two different times. Our matching algorithm is a version of ICP, which is a popular approach to 3D face recognition. We find substantial differences in recognition rate between the sensors considered in part due to the different types of imaging artifacts produced. When matching data across sensors, the higher-quality data should be the enrollment data.

Paper Details

Date Published: 17 April 2006
PDF: 8 pages
Proc. SPIE 6202, Biometric Technology for Human Identification III, 620201 (17 April 2006); doi: 10.1117/12.662744
Show Author Affiliations
Timothy Faltemier, Univ. of Notre Dame (United States)
Kevin Bowyer, Univ. of Notre Dame (United States)

Published in SPIE Proceedings Vol. 6202:
Biometric Technology for Human Identification III
Patrick J. Flynn; Sharath Pankanti, Editor(s)

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