NDLI: Markov network-based multiple classifier for face image retrieval

Content Provider	IEEE Xplore Digital Library
Author	Wonjun Hwang Kyungshik Noh Junmo Kim
Copyright Year	2013
Description	Author affiliation: KAIST, Daejeon, South Korea (Junmo Kim) \|\| Samsung Adv. Inst. of Technol., Yongin, South Korea (Wonjun Hwang; Kyungshik Noh)
Abstract	We propose a new face-recognition framework to learn the relationship between multiple classifiers using a Markov network. For each image, we make three face models based on different distances between two eye locations. The novelty of the proposed method lies in that the method not only compares the query and target images at the three different levels, but also takes into account the statistical dependency between the three different models. This dependency is captured by a Markov network, which we describe by a graphical model, where query models are observation nodes, target models are hidden nodes, and the network line represents their relationships. For each observation-hidden node pair, we collect a set of target candidates that are most similar to the observation, and the relationship between the hidden nodes is captured in terms of the similarity between target images. Posterior probabilities at the three hidden nodes of the Markov network are computed by a belief-propagation algorithm. We evaluate the proposed method using FRGC ver 2.0, XM2VTS, BANCA, and PIE databases, which demonstrates its superiority under the untrained variations.
Starting Page	3685
Ending Page	3689
File Size	421343
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738760
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Recognition Markov Network Multiple Face Model Face Image Retrieval
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