A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Fast 3D Face Alignment and Improved Recognition Through Pyramidal Normal map Metric
2007
Proceedings of IEEE international conference on image processing
Face's tri-dimensional shape represents a highly discriminating yet challenging biometric identifier due to different issues, some of which related to capture, alignment and normalization. This paper presents an improved normal map based face recognition approach, which relies on a novel method to automatically align a captured 3D face mesh to a reference template, allowing a more precise face comparison. The alignment algorithm exploits pyramidal-normalmap metric, a coarse to finer measurement
doi:10.1109/icip.2007.4378915
dblp:conf/icip/AbateNRS07
fatcat:ah4fvnox2fg4dpcjvo47ssa7ra