NDLI: Learning Local Descriptors for Face Detection

Content Provider	IEEE Xplore Digital Library
Author	Hongliang Jin Qingshan Liu Xiaoou Tang Hanqing Lu
Copyright Year	2005
Description	Author affiliation: Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin (Hongliang Jin; Qingshan Liu; Xiaoou Tang)
Abstract	In this paper, we propose a real-time face detection approach based on local structure and texture of the objects in gray-level images. Our strategy is to map the local spatial structures and image textures of face class into binary patterns, and use these binary patterns as local descriptors. Boosting based face detector is constructed using these local descriptors, and cascade scheme is employed to further improve the efficiency of the face detector. Compared to the existing face detection approaches, our proposed method has two advantages: (1) it is robust to illumination changes to some extend, for the features use the information of local relationship instead of the original gray values; (2) the computational cost is very low, both in training procedure and evaluation step. The experimental results show that the proposed method can meet the demand of real-time applications with a satisfied detection performance
Starting Page	928
Ending Page	931
File Size	756782
Page Count	4
File Format	PDF
ISBN	0780393317
DOI	10.1109/ICME.2005.1521576
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-06
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face detection Detectors Gray-scale Lighting Face recognition Neural networks Filters Pattern recognition Image texture Boosting
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
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
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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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