NDLI: Face recognition using Multi-modal Binary Patterns

Content Provider	IEEE Xplore Digital Library
Author	Thanh Phuong Nguyen Ngoc-Son Vu Caplier, A.
Copyright Year	2012
Description	Author affiliation: CMM, Mines Paristech, Fontainebleau, France (Thanh Phuong Nguyen) \|\| Vesalis, Clermont Ferrand, France (Ngoc-Son Vu) \|\| Gipsa-lab, Grenoble INP, France (Caplier, A.)
Abstract	A new descriptor called Multi-modal Binary Patterns (MMBP) is proposed for face recognition. It balances well important requirements for real-world applications, including the robustness, discriminative power, and the low computational cost. The proposed algorithm has several desirable properties: 1) it captures information from face image in any direction as it is oriented feature, 2) being a spatial multi-scale structure, the descriptor catches not only local but also more global information about object, 3) it is robust to image transformation like variations of lighting, expressions, and 4) it is computationally efficient. In more detail, to catch information in a given direction, a Local Line Binary Pattern (LLBP) based operator is first applied. The MMBP feature is then built by applying a LBP-based self-similarity operator on the values being calculated by LLBP operators across different directions. A Whitened PCA dimensionality reduction technique is applied to get more a compact and efficient descriptor. Experimental results achieved on the comprehensive FERET data set being comparable to state-of-the-art validates the efficiency of our method.
Starting Page	2343
Ending Page	2346
File Size	339023
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Face Face recognition Robustness Principal component analysis Feature extraction Lighting Histograms
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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

Improving the recognition of faces occluded by facial accessories

Face localization based on the morphological multi-scale fingerprint

Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

Hybrid framework for face recognition with expression & illumination variations

Combining Local Binary Pattern and Principal Component Analysis on T-Zone face area for face recognition

Representative feature chain for single gallery image face recognition

Local Gradient Order Pattern for Face Representation and Recognition

Principal Local Binary Patterns for Face Representation and Recognition

Local Binary Patterns Calculated over Gaussian Derivative Images

Face recognition using Multi-modal Binary Patterns

Similar Documents

Improving the recognition of faces occluded by facial accessories

Face localization based on the morphological multi-scale fingerprint

Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

Hybrid framework for face recognition with expression & illumination variations

Combining Local Binary Pattern and Principal Component Analysis on T-Zone face area for face recognition

Representative feature chain for single gallery image face recognition

Local Gradient Order Pattern for Face Representation and Recognition

Principal Local Binary Patterns for Face Representation and Recognition

Local Binary Patterns Calculated over Gaussian Derivative Images

Face recognition using Multi-modal Binary Patterns