Proceedings ArticleDOI
Face recognition based on nonsubsampled contourlet transform and block-based kernel Fisher linear discriminant
Biao Wang,Weifeng Li,Qingmin Liao +2 more
- pp 1533-1536
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TLDR
A novel face representation scheme based on nonsubsampled contourlet transform (NSCT) and block-based kernel Fisher linear discriminant (BKFLD) is proposed and incorporated to address the small sample size problem.Abstract:
Face representation, including both feature extraction and feature selection, is the key issue for a successful face recognition system. In this paper, we propose a novel face representation scheme based on nonsubsampled contourlet transform (NSCT) and block-based kernel Fisher linear discriminant (BKFLD). NSCT is a newly developed multiresolution analysis tool and has the ability to extract both intrinsic geometrical structure and directional information in images, which implies its discriminative potential for effective feature extraction of face images. By encoding the the NSCT coefficient images with the local binary pattern (LBP) operator, we could obtain a robust feature set. Furthermore, kernel Fisher linear discriminant is introduced to select the most discriminative feature sets, and the block-based scheme is incorporated to address the small sample size problem. Face recognition experiments on FERET database demonstrate the effectiveness of our proposed approach.read more
Citations
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Journal ArticleDOI
Non-uniform patch based face recognition via 2D-DWT
TL;DR: The obtained numerical results show that the new face recognition method outperforms the traditional 2D-DWT method and some state-of-the-art patch based methods.
Proceedings ArticleDOI
Face recognition using Support Vector Machine and multiscale directional image representation methods: A comparative study
Daniel M. M. da Costa,Sarajane Marques Peres,Clodoaldo A. M. Lima,Pollyana Notargiacomo Mustaro +3 more
TL;DR: A systematic empirical study on Wavelet, Contourlet, Shearlet and Curvelet transforms as feature extractors from face images to reduce the feature dimensionality and select the most discriminative feature sets.
Proceedings ArticleDOI
Fusing Local Patterns of Gabor and Non-subsampled Contourlet Transform for Face Recognition
Yao Deng,Zhenhua Guo,Youbin Chen +2 more
TL;DR: A new face representation based on fusing local patterns of Gabor and NSCT and block-based Fisher's linear discriminant (BFLD) is utilized to reduce the dimensionality and improve discriminative power of the proposed method.
Proceedings ArticleDOI
Expression invariant face recognition using contourlet transform
TL;DR: This paper addresses the issue of expression invariant face recognition with small gallery set by proposing a novel approach that fuses the features from spatial domain and contourlet transform domain.
Journal ArticleDOI
Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition
TL;DR: The extensive experiments on the public FERET, CAS-PEAL-R1 and LFW databases demonstrate that the non-weighted Contourlet binary patterns performs better than local Gabor binary patterns and further improves the recognition rates.
References
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TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Journal ArticleDOI
Face Description with Local Binary Patterns: Application to Face Recognition
TL;DR: This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features that is assessed in the face recognition problem under different challenges.
Journal ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Journal ArticleDOI
The contourlet transform: an efficient directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.
Journal ArticleDOI
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
Xiaoyang Tan,Bill Triggs +1 more
TL;DR: This work presents a simple and efficient preprocessing chain that eliminates most of the effects of changing illumination while still preserving the essential appearance details that are needed for recognition, and improves robustness by adding Kernel principal component analysis (PCA) feature extraction and incorporating rich local appearance cues from two complementary sources.
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