NDLI: Recognition of Non-Cooperative Individuals at a Distance with 3D Face Modeling

Content Provider	IEEE Xplore Digital Library
Author	Medioni, G. Fidaleo, D. Jongmoo Choi Li Zhang Cheng-Hao Kuo Kwangsu Kim
Copyright Year	2007
Description	Author affiliation: Southern California Univ., Los Angeles (Medioni, G.; Fidaleo, D.; Jongmoo Choi; Li Zhang; Cheng-Hao Kuo; Kwangsu Kim)
Abstract	We present an approach to identify non-cooperative individuals at a distance from a sequence of images using 3D face models. Most biometric features (such as fingerprints, hand shape, iris or retinal scans) require cooperative subjects in close proximity to the biometric system. Even top 2D face recognition systems today are only reliable at a distance when presented with frontal images. Our approach is accomplished by processing images acquired with an ultra-high resolution video camera, inferring the location of the subjects' head, using this information to crop the region of interest, building a 3D face model, and using this 3D model to perform biometric identification. To build the 3D model, we use an image sequence, as natural head and body motion provides enough viewpoint variation to perform stereo-motion for 3D face reconstruction. The 3D face model allows the use of true shape invariants for recognition against 3D galleries. Also the 3D model can assist in matching non-frontal faces against 2D galleries by rotating and rendering the 3D reconstruction into a 2D frontal image when only a 2D gallery is available. This approach constitutes a considerable step forward in solving the challenging problem of biometric identification at a distance.
Starting Page	112
Ending Page	117
File Size	9142257
Page Count	6
File Format	PDF
ISBN	1424412994
DOI	10.1109/AUTOID.2007.380603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Biometrics Shape Head Image reconstruction Fingerprint recognition Iris Retina Image resolution Cameras 3D face modeling face recognition person identification at a distance
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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