An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition

Fast and robust face recognition is a challenging research topic in the field of computer vision. A recently proposed Collaborative Representation based Classification with Regularized Least Square (CRCRLS) algorithm shows very lower computational cost but with poor robustness. In order to solve this problem, we propose an improved CRCRLS method. Firstly, the image Gabor features were extracted and used to construct initial dictionary. Secondly, we learn a discriminative dictionary by a label consistent K-SVD (LC-KSVD) method which combines the sparse coding error with the reconstruction error and the classification error. Finally, l2-norm of coding residual in CRCRLS is computed and the classification problem is transformed into solving linear programing problem. Experiments on two benchmark face databases with variations of illumination, expression, occlusion show that the proposed method can achieve high classification accuracy and has a very low time-consuming.

• Publication year

  2016

• Venue

  Neurocomputing

• Publication date

  2016-11-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/J.NEUCOM.2015.06.117
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Fast terrain mapping from low altitude digital imagery

  2015cited by this paper
• Fast and robust face recognition via coding residual map learning based adaptive masking

  2014cited by this paper
• Efficient BOF Generation and Compression for On-Device Mobile Visual Location Recognition

  2014cited by this paper
• Projected Residual Vector Quantization for ANN Search

  2014cited by this paper
• Multi-resolution feature fusion for face recognition

  2014cited by this paper
• Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary

  2013cited by this paper
• Joint discriminative dimensionality reduction and dictionary learning for face recognition

  2013cited by this paper
• On-Device Mobile Visual Location Recognition by Integrating Vision and Inertial Sensors

  2013cited by this paper
• Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition

  2013cited by this paper
• Towards Pose Robust Face Recognition

  2013cited by this paper
• Sparse representation for image recognition based on Gabor feature set and discriminative dictionary learning

  2013cited by this paper
• Face recognition via Weighted Sparse Representation

  2013cited by this paper
• Incremental learning of complete linear discriminant analysis for face recognition

  2012cited by this paper
• Fusing Magnitude and Phase Features for Robust Face Recognition

  2012cited by this paper
• Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

  2012cited by this paper
• Face recognition using discriminant sparsity neighborhood preserving embedding

  2012cited by this paper
• Sparse representation or collaborative representation: Which helps face recognition?

  2011cited by this paper
• Handbook of Face Recognition, 2nd Edition

  2011cited by this paper
• Learning a discriminative dictionary for sparse coding via label consistent K-SVD

  2011cited by this paper
• Recent advances in face biometrics with Gabor wavelets: A review

  2010cited by this paper
• Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition

  2010cited by this paper
• Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary

  2010cited by this paper
• Discriminative K-SVD for dictionary learning in face recognition

  2010cited by this paper
• FRVT 2006 and ICE 2006 Large-Scale Experimental Results

  2010cited by this paper
• Robust Face Recognition via Sparse Representation

  2009cited by this paper
• A Survey of Face Recognition Techniques

  2009cited by this paper
• Joint learning and dictionary construction for pattern recognition

  2008cited by this paper
• Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

  2007cited by this paper
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

  2006cited by this paper
• Acquiring linear subspaces for face recognition under variable lighting

  2005cited by this paper
• Face recognition: A literature survey

  2003cited by this paper
• Handbook of face recognition

  2003cited by this paper
• Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

  2002cited by this paper
• The AR face database

  1998cited by this paper

• Convolutional Feature Aggregation Network With Self-Supervised Learning and Decision Fusion for SAR Target Recognition

  2024cites this paper
• SAR Target Recognition Based on Convolutional Feature Aggregation and Decision Combination

  2024cites this paper
• On the Estimation of Derivatives Using Plug-in KRR Estimators

  2021cites this paper
• Non-asymptotic Analysis in Kernel Ridge Regression

  2020cites this paper
• On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators

  2020cites this paper
• Several robust extensions of collaborative representation for image classification

  2019cites this paper
• An efficient face recognition system based on hybrid optimized KELM

  2019cites this paper
• Histogram-Based CRC for 3D-Aided Pose-Invariant Face Recognition

  2019cites this paper
• Sparse Representation and Collaborative Representation? Both Help Image Classification

  2019cites this paper
• A novel fusion strategy for probabilistic sparse representation classifier guided by support vector machines

  2019cites this paper
• Robust collaborative representation-based classification via regularization of truncated total least squares

  2018cites this paper
• Cost-Sensitive Collaborative Representation Based Classification via Probability Estimation Addressing the Class Imbalance Problem

  2018cites this paper
• Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance

  2017cites this paper
• A new Sparse Coding Approach for Human Face and Action Recognition

  2017cites this paper
• A review of optimization method in face recognition: Comparison deep learning and non-deep learning methods

  2017cites this paper