
Proceedings Paper
An integrated modeling approach to age invariant face recognitionFormat | Member Price | Non-Member Price |
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Paper Abstract
This Research study proposes a novel method for face recognition based on Anthropometric features that make use
of an integrated approach comprising of a global and personalized models. The system is aimed to at situations where
lighting, illumination, and pose variations cause problems in face recognition. A Personalized model covers the
individual aging patterns while a Global model captures general aging patterns in the database. We introduced a de-aging
factor that de-ages each individual in the database test and training sets. We used the k nearest neighbor approach for
building a personalized model and global model. Regression analysis was applied to build the models. During the test
phase, we resort to voting on different features. We used FG-Net database for checking the results of our technique and
achieved 65 percent Rank 1 identification rate.
Paper Details
Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430A (4 March 2015); doi: 10.1117/12.2179506
Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)
PDF: 7 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430A (4 March 2015); doi: 10.1117/12.2179506
Show Author Affiliations
Fahad Bashir Alvi, Auckland Univ. of Technology (New Zealand)
Russel Pears, Auckland Univ. of Technology (New Zealand)
Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)
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