NDLI: Log-domain polynomial filters for illumination-robust face recognition

Content Provider	IEEE Xplore Digital Library
Author	Yinyan Jiang Yong Wu Weifeng Li Longbiao Wang Qingmin Liao
Copyright Year	2014
Description	Author affiliation: Dept. of EE, Tsinghua Univ., Shenzhen, China (Yinyan Jiang; Yong Wu; Weifeng Li; Qingmin Liao) \|\| Nagaoka Univ. of Technol., Nagaoka, Japan (Longbiao Wang)
Abstract	This paper proposes a novel face image descriptor local surface pattern (LSP) for illumination-robust face recognition. It is assumed that the discrete array of pixel values comes about by sampling an underlying smooth surface on the domain of the image. The proposed method efficiently estimates the underlying local surface information, which is approximately represented as linear projection coefficients of the pixels in a local patch. Thus, by filtering local image patches using the polynomial filters and binarizing the filter responses via thresholding, the method can compute a binary code for each pixel in the face image. Then the distribution of the code over suitable image regions is used for face representation. Furthermore, we prove that applying zero-mean filters in logdomain may enable the responses to be more robust to illumination variations. The experimental results on Extended Yale-B and FERET fc databases illustrate the effectiveness of our proposed method in illumination-robust face recognition.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	504
Ending Page	508
File Size	248870
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6853647
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polynomials Lighting Face Face recognition Histograms Robustness Databases surface fitting face recognition illumination insensitive local patterns
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

Sparse representation of (Multiscale) histograms for face recognition robust to registration and illumination problems

Weber binary pattern and Weber ternary pattern for illumination-robust face recognition

Face recognition with Local Gradient Derivative Patterns

An enhanced Local Ternary Patterns method for face recognition

An illumination insensitive framework using robust illumination normalization and spectral regression kernel discriminant analysis for face recognition

Illumination Invariant Face Recognition with Whitening Filter and Local Binary Patterns

Local variance projection log energy entropy features for illumination robust face recognition

Face recognition using illumination-invariant local patches

Illumination Normalization for Robust Face Recognition Based on Nonsubsampled Contourlet Transform

Log-domain polynomial filters for illumination-robust face recognition

Similar Documents

Sparse representation of (Multiscale) histograms for face recognition robust to registration and illumination problems

Weber binary pattern and Weber ternary pattern for illumination-robust face recognition

Face recognition with Local Gradient Derivative Patterns

An enhanced Local Ternary Patterns method for face recognition

An illumination insensitive framework using robust illumination normalization and spectral regression kernel discriminant analysis for face recognition

Illumination Invariant Face Recognition with Whitening Filter and Local Binary Patterns

Local variance projection log energy entropy features for illumination robust face recognition

Face recognition using illumination-invariant local patches

Illumination Normalization for Robust Face Recognition Based on Nonsubsampled Contourlet Transform

Log-domain polynomial filters for illumination-robust face recognition