NCJ Number
304486
Journal
Computer Vision and Image Understanding Volume: 112 Issue: 2 Dated: Nov 2008 Pages: 114-125
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)
Date Published: November 1, 2008
Downloads
Similar Publications
- Y-SNP Typing of US African-American and Caucasian Samples Using Allele-Specific Hybridization and Primer Extension
- Identification of Organic Pigments in Automotive Coatings Using Laser Desorption Mass Spectrometry
- Calculation of the Weight of Evidence for Combined Single-Cell and Extracellular Forensic DNA