Please use this identifier to cite or link to this item:
|Title:||Combining facial appearance and dynamics for face recognition||Authors:||Ye, N.
|Issue Date:||2009||Citation:||Ye, N.,Sim, T. (2009). Combining facial appearance and dynamics for face recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5702 LNCS : 133-140. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-03767-2_16||Abstract:||In this paper, we present a novel hybrid feature for face recognition. This hybrid feature is created by combining the traditional holistic facial appearance feature with a recently proposed facial dynamics feature. We measure and compare the inherent discriminating power of this hybrid feature and the holistic facial appearance feature by the statistical separability between genuine feature distance and impostor feature distance. Our measurement indicates that the hybrid feature is more discriminative than the appearance feature. © 2009 Springer Berlin Heidelberg.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/40894||ISBN:||3642037666||ISSN:||03029743||DOI:||10.1007/978-3-642-03767-2_16|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 16, 2019
checked on May 22, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.