Impact of involuntary subject movement on 3D face scans

Abstract

The impact of natural movement/sway while standing still during the capture of a 3D face model for biometric applications has previously been believed to have a negligible impact on biometric performance. Utilizing a newly captured dataset this paper demonstrates a significant negative impact of standing. A 0.5 improvement in d' (test of correct/incorrect match distribution separation) per 3D face region and noticeable improvement to match distributions are shown to result from eliminating movement during the scanning process. By comparing these match distributions to those in the FRGC dataset this paper presents an argument for improving the accuracy of 3D face models by eliminating motion during the capture process.