NDLI: Sparse representation-based face recognition against expression and illumination

Content Provider	IET Digital Library
Author	Su, Ya Liu, Zhe Wang, Mengyao
Abstract	Face recognition technique has obtained great progress and excellent results on public data sets. However, traditional algorithms suffer from various changes such as illumination, expression, and misalignment in practical applications. To solve these problems, this study proposes a novel face recognition algorithm simultaneously resolves these challenges. The key idea is reducing the influence of illumination and expression through the aligning procedure. As a result, illumination, expression, and misalignment can be greatly ignored in the recognition procedure. The contributions of this study are two folds. (i) The construction of the shape constrained illumination pattern (SCIP), which models the illumination variation with robustness to expression change. (ii) SCIP-based face recognition algorithm which can deal with illumination, expression, and image misalignment simultaneously. Systematic evaluations conducted on public databases demonstrate that the proposed algorithm is robust to illumination, expression, and misalignment with better performance than state-of-the-art algorithms.
Starting Page	826
Ending Page	832
Page Count	7
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 5, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0757
Journal	IET Image Processing
Publisher Date	2018-01-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Face Recognition Face Recognition Algorithm Illumination Variation Image Recognition Image Representation SCIP Shape Constrained Illumination Pattern Sparse Representation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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

Facial expression recognition via sparse representation using positive and reverse templates

Face recognition algorithm based on feature descriptor and weighted linear sparse representation

Fast matching pursuit for sparse representation-based face recognition

One sample per person face recognition via sparse representation

Virtual samples and sparse representation-based classification algorithm for face recognition

Face recognition under illumination variations based on eight local directional patterns

Combined features for face recognition under illumination variation

Visual illumination compensation for face images using light mapping matrix

Sparse Representation for Computer Vision and Pattern Recognition

Sparse representation-based face recognition against expression and illumination

Similar Documents

Facial expression recognition via sparse representation using positive and reverse templates

Face recognition algorithm based on feature descriptor and weighted linear sparse representation

Fast matching pursuit for sparse representation-based face recognition

One sample per person face recognition via sparse representation

Virtual samples and sparse representation-based classification algorithm for face recognition

Face recognition under illumination variations based on eight local directional patterns

Combined features for face recognition under illumination variation

Visual illumination compensation for face images using light mapping matrix

Sparse Representation for Computer Vision and Pattern Recognition

Sparse representation-based face recognition against expression and illumination