NDLI: Face recognition using position-dictionaries and region covariance feature

Content Provider	SpringerLink
Author	Li, Yuhua Qi, Chun
Copyright Year	2014
Abstract	In this paper, a new sparsity formulation called position-dictionary based sparse representation is developed for frontal face recognition. Different from the sparse representation based classification (SRC) method and the Gabor-feature based SRC (GSRC) method which both employ a global dictionary to decompose image patches, the proposed method constructs a position-dictionary for each location using training patches in the corresponding location since they resemble each other and are more likely to favor the same atoms. Sparse coefficients of each position-patch can be obtained by solving an $$l_{1}$$ -norm minimization problem. For each face image, sparse coefficients of position-patches are pooled to construct a discriminative upper level feature to represent face image. PCA is used to perform dimension reduction. Each testing sample is represented as a sparse linear combination of all training samples, and recognition is accomplished by evaluating which class of training samples leads to the minimum reconstruction error. We compared the proposed method with SRC and GSRC method on three benchmark face databases. Experimental results show that the proposed method achieves higher recognition rates and is robust to a certain degree of occlusions.
Starting Page	1139
Ending Page	1147
Page Count	9
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	8
Issue Number	6
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2014-07-06
Publisher Place	London
Access Restriction	Subscribed
Subject Keyword	Region covariance descriptor Face recognition Sparse representation Position-dictionary Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Signal Processing

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 Libarray 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

Wavelet domain dictionary learning-based single image superresolution

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle

Non-stationary signal feature characterization using adaptive dictionaries and non-negative matrix factorization

Sparse representation-based human detection: a scale-embedded dictionary approach

Sparse representation-based algorithm for joint SAR image formation and autofocus

Three-dimensional (3D) facial recognition and prediction

Visual tracking using IPCA and sparse representation

Fusion of face and iris biometrics using local and global feature extraction methods

Face recognition using position-dictionaries and region covariance feature

Similar Documents

Wavelet domain dictionary learning-based single image superresolution

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle

Non-stationary signal feature characterization using adaptive dictionaries and non-negative matrix factorization

Sparse representation-based human detection: a scale-embedded dictionary approach

Sparse representation-based algorithm for joint SAR image formation and autofocus

Three-dimensional (3D) facial recognition and prediction

Visual tracking using IPCA and sparse representation

Fusion of face and iris biometrics using local and global feature extraction methods

Face recognition using position-dictionaries and region covariance feature