NDLI: On the application of AAM-based systems in face recognition

Content Provider	IEEE Xplore Digital Library
Author	Khan, M.A. Xydeas, C. Ahmed, H.
Copyright Year	2014
Description	Author affiliation: Infolab21, Lancaster Univ., Lancaster, UK (Khan, M.A.; Xydeas, C.; Ahmed, H.)
Abstract	The presence of significant levels of signal variability in face-portrait type of images, due to differences in illumination, pose and expression, is generally been accepted as having an adverse effect on the overall performance of i) face modeling and synthesis (FM/S) and also on ii) face recognition (FR) systems. Furthermore, the dependency on such input data variability and thus the sensitivity, with respect to face synthesis performance, of Active Appearance Modeling (AAM), is also well understood. As a result, the Multi-Model Active Appearance Model (MM-AAM) technique [1] has been developed and shown to possess a superior face synthesis performance than AAM. This paper considers the applicability in FR applications of both AAM and MM-AAM face modeling and synthesis approaches. Thus, a MM-AAM methodology has been devised that is tailored to operate successfully within the context of face recognition. Experimental results show FR-MM-AAM to be significantly superior to conventional FR-AAM.
Starting Page	2445
Ending Page	2449
File Size	2241212
Page Count	5
File Format	PDF
ISBN	9780992862619
ISSN	20761465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-01
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	Training Multi-Model Active Appearance Model Shape Face recognition System performance Face Active appearance model Face Recognition Principal component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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