NDLI: Using Particle Swarm Optimization for scaling and rotation invariant face detection

Content Provider	IEEE Xplore Digital Library
Author	Marami, E. Tefas, A.
Copyright Year	2010
Description	Author affiliation: Department of Informatics, Aristotle University of Thessaloniki, Box 451, 54124, Thessaloniki, Greece (Marami, E.; Tefas, A.)
Abstract	Common face detection algorithms exhaustively search in all possible locations in the image for precisely located, frontal faces. In this paper, a novel face detection algorithm based on Particle Swarm Optimization (PSO) method for searching in the image is proposed. The algorithm uses a linear Support Vector Machine (SVM) as fast and accurate classifier and searches for a face in four dimensions: plane, orientation of the face, size of the face. Using PSO, the exhaustive search in all possible combinations of the 4D coordinates can be avoided, saving time and decreasing the computational complexity. Moreover, linear SVMs are proved to be a powerful and fast classifier for demanding applications. Experimental results under real recording conditions in the BioID and VALID database are very promising and indicate the potential use of the proposed approach to real applications.
Starting Page	1
Ending Page	7
File Size	781790
Page Count	7
File Format	PDF
ISBN	9781424469093
e-ISBN	9781424469116
DOI	10.1109/CEC.2010.5586159
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Support vector machines Training Face detection Databases Detectors Lead
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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