NDLI: Multi-Modal Face Recognition by Means of Augmented Normal Map and PCA

Content Provider	IEEE Xplore Digital Library
Author	Abate, A.F. Nappi, M. Ricciardi, S. Sabatino, G.
Copyright Year	2006
Description	Author affiliation: Dipt. di Matematica e Informatica, Univ. degli Studi di Salerno, Fisciano, Italy (Abate, A.F.; Nappi, M.; Ricciardi, S.; Sabatino, G.)
Abstract	Face represents a rich biometric identifier whose potential in term of discriminating power has not been fully exploited yet. This paper addresses face recognition through a multi-modal approach operating on face's 3D (geometry) and 2D (skin texture) features by means of two different metrics: augmented normal map and principal component analysis. Augmented normal map includes shape (surface normals represented as 24 bit colour pixels) and texture info (additional 8 bit for skin colour) into one 32 bit image. The proposed two-staged method firstly performs a fast one-to-many comparison of facial geometry exploiting normal map metric. Then, to further improve recognition precision and reliability, best rank faces are compared to probe by PCA resulting in a final score. Other advantages are robustness to facial expressions and the ability to selectively filter face's non-skin regions (beard, moustaches). We include preliminary experimental results on a dataset of 101 textured 3D faces.
Starting Page	649
Ending Page	652
File Size	5031641
Page Count	4
File Format	PDF
ISBN	1424404800
ISSN	15224880
DOI	10.1109/ICIP.2006.312414
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Principal component analysis Geometry Skin Biometrics Shape Surface texture Pixel Probes Robustness image processing Object recognition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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