NDLI: Textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion

Content Provider	IEEE Xplore Digital Library
Author	Di Huang Ben Soltana, W. Ardabilian, M. Yunhong Wang Liming Chen
Copyright Year	2011
Description	Author affiliation: School of Computer Science and Engineering, Beihang University, 100191, Beijing, China (Yunhong Wang) \|\| Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France (Di Huang; Ben Soltana, W.; Ardabilian, M.; Liming Chen)
Abstract	This paper proposes a novel biological vision-based facial description, namely Perceived Facial Images (PFIs), aiming to highlight intra-class and inter-class variations of both facial range and texture images for textured 3D face recognition. These generated PFIs simulate the response of complex neurons to gradient information within a certain neighborhood and possess the properties of being highly distinctive and robust to affine illumination and geometric transformation. Based on such an intermediate facial representation, SIFT-based matching is further carried out to calculate similarity scores between a given probe face and the gallery ones. Because the facial description generates a PFI for each quantized gradient orientation of range and texture faces, we then propose a score level fusion strategy which optimizes the weights using a genetic algorithm in a learning step. Evaluated on the entire FRGC v2.0 database, the rank-one recognition rate using only 3D or 2D modality is 95.5% and 95.9%, respectively; while fusing both modalities, i.e. range and texture-based PFIs, the final accuracy is 98.0%, demonstrating the effectiveness of the proposed biological vision-based facial description and the optimized weighted sum fusion.
Starting Page	1
Ending Page	8
File Size	815557
Page Count	8
File Format	PDF
ISBN	9781457705298
ISSN	21607516
e-ISBN	9781457705304
DOI	10.1109/CVPRW.2011.5981672
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Face recognition Neurons Lighting Three dimensional displays Face
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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