NDLI: Joint regularized nearest points for image set based face recognition

Content Provider	IEEE Xplore Digital Library
Author	Meng Yang Weiyang Liu Linlin Shen
Copyright Year	2015
Description	Author affiliation: Coll. of Comput. Sci. & Software Eng., Shenzhen Univ., Shenzhen, China (Meng Yang; Linlin Shen) \|\| Sch. of Electron. & Comput. Eng., Peking Univ., Beijing, China (Weiyang Liu)
Abstract	Face recognition based on image set has attracted much attention due to its promising performance to overcome various variations. Recently, (collaborative) regularized nearest points (C)RNP has achieved the state-of-art performance by measuring the between-set distance as the distance between nearest points generated in each image set. However, the nearest point of the query set in RNP changes in computing its distance to nearest points of different gallery image sets, which may result in that a wrong gallery image set can also has a small between-set distance; CRNP used collaborative representation to overcome this issue but it doesn't explicitly minimize the between-set distance. In order to solve these issues and fully exploit the advantages of nearest point based approaches, in this paper a novel joint regularized nearest points (JRNP) is proposed for face recognition based on image sets. In JRNP, the nearest point in the query set keeps the same when computing its distance to the image sets of different classes; at the same time, it explicitly minimize the between-set distance of facial images. An efficient algorithm was proposed to solve this problem, and the classification is then based on the joint distance between the regularized nearest points in image sets. Extensive experiments on benchmark databases were conducted on benchmark databases (e.g., Honda/UCSD, CMU Mobo, and YouTube databases). The experimental results clearly show that our JRNP leads the performance in face recognition based on image sets.
Starting Page	1
Ending Page	7
File Size	499084
Page Count	7
File Format	PDF
ISBN	9781479960262
DOI	10.1109/FG.2015.7163108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-04
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Joints Time complexity Face Collaboration Encoding Databases
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
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