Online citations, reference lists, and bibliographies.

Kernel Sparse Representation For Image Classification And Face Recognition

Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
Published 2010 · Computer Science
Cite This
Download PDF
Analyze on Scholarcy
Share
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear similarity of features, which may reduce the feature quantization error and boost the sparse coding performance, we propose Kernel Sparse Representation(KSR). KSR is essentially the sparse coding technique in a high dimensional feature space mapped by implicit mapping function. We apply KSR to both image classification and face recognition. By incorporating KSR into Spatial Pyramid Matching(SPM), we propose KSRSPM for image classification. KSRSPM can further reduce the information loss in feature quantization step compared with Spatial Pyramid Matching using Sparse Coding(ScSPM). KSRSPM can be both regarded as the generalization of Efficient Match Kernel(EMK) and an extension of ScSPM. Compared with sparse coding, KSR can learn more discriminative sparse codes for face recognition. Extensive experimental results show that KSR outperforms sparse coding and EMK, and achieves state-of-the-art performance for image classification and face recognition on publicly available datasets.
This paper references
10.1109/ICCV.2003.1238663
Video Google: a text retrieval approach to object matching in videos
Josef Sivic (2003)
10.1007/978-1-4471-0285-4
Pattern Classification
Shigeo Abe DrEng (2001)
10.1109/TPAMI.2005.55
Face recognition using Laplacianfaces
Xiaofei He (2005)
10.1007/BFb0020217
Kernel Principal Component Analysis
Bernhard Schölkopf (1997)
Eigenfaces vs
P. N. Belhumeur (1997)
10.1109/34.598228
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
Peter N. Belhumeur (1997)
10.1109/CVPR.2005.223
Mercer kernels for object recognition with local features
Siwei Lyu (2005)
10.1109/CVPR.2003.1211332
Clustering appearances of objects under varying illumination conditions
Jeffrey Ho (2003)
10.1109/ICCV.2007.4408872
What, where and who? Classifying events by scene and object recognition
Li-Jia Li (2007)
10.1023/A:1018647011077
The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis
Aapo Hyvärinen (2004)
10.1109/CVPR.2010.5539963
Learning mid-level features for recognition
Y-Lan Boureau (2010)
Distinctive Image Features from Scale-Invariant Keypoints
Matthijs C Dorst (2011)
10.1109/CVPR.2009.5206861
Image categorization with spatial mismatch kernels
Zhiwu Lu (2009)
10.1007/978-3-540-88690-7_52
Kernel Codebooks for Scene Categorization
Jan C. van Gemert (2008)
Caltech-256 Object Category Dataset
G. S. Griffin (2007)
10.1109/TPAMI.2008.79
Robust Face Recognition via Sparse Representation
John Wright (2009)
Efficient Match Kernel between Sets of Features for Visual Recognition
Liefeng Bo (2009)
10.1109/CVPR.2008.4587598
In defense of Nearest-Neighbor based image classification
Oren Boiman (2008)
10.1109/CVPR.2007.383172
Object retrieval with large vocabularies and fast spatial matching
James Philbin (2007)
10.1109/CVPR.2006.68
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
Svetlana Lazebnik (2006)
10.1109/ICCV.2009.5459178
Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel
Jianxin Wu (2009)
Convolution kernels on discrete structures
David Haussler (1999)
10.1109/CVPR.2009.5206757
Linear spatial pyramid matching using sparse coding for image classification
Jianchao Yang (2009)
10.1109/ICCV.2009.5459452
Non-local sparse models for image restoration
Julien Mairal (2009)
10.1109/34.927464
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
Athinodoros S. Georghiades (2001)
10.1109/CVPRW.2009.5206851
Image categorization by learning with context and consistency
Zhiwu Lu (2009)
10.1162/jocn.1991.3.1.71
Eigenfaces for Recognition
Matthew A. Turk (1991)
10.7551/mitpress/7503.003.0105
Efficient sparse coding algorithms
Honglak Lee (2006)
10.1109/CVPR.2009.5206866
Multi-label sparse coding for automatic image annotation
Changhu Wang (2009)



This paper is referenced by
10.1007/s00521-014-1582-4
Enhancing sparsity via full rank decomposition for robust face recognition
Yuwu Lu (2014)
10.1515/msr-2017-0018
Magnetic Resonance Super-resolution Imaging Measurement with Dictionary-optimized Sparse Learning
Jun-Bao Li (2017)
10.1109/ICME.2015.7177438
Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD
Weiyang Liu (2015)
10.1016/j.knosys.2013.12.016
Weighted discriminative sparsity preserving embedding for face recognition
Lai Wei (2014)
10.1007/s11042-018-6071-9
Face recognition based on manifold constrained joint sparse sensing with K-SVD
Jingjing Liu (2018)
10.1007/s11277-018-6024-7
Advanced Satellite Image Classification of Various Resolution Image Using a Novel Approach of Deep Neural Network Classifier
S. Jayanthi (2019)
Collaborative Representation based Classification for Face Recognition
Lei Zhang (2012)
10.1007/s11063-015-9447-0
A Novel Spatial Analysis Method for Remote Sensing Image Classification
Jianqiang Gao (2015)
10.1109/LGRS.2019.2898913
Hyperspectral Image Classification Using Kernel Fused Representation via a Spatial-Spectral Composite Kernel With Ideal Regularization
Guichi Liu (2019)
10.1016/j.neucom.2014.08.106
Multi-view multi-sparsity kernel reconstruction for multi-class image classification
Xiaofeng Zhu (2015)
10.1007/978-981-10-6171-4_4
Tactile Object Recognition Using Supervised Dictionary Learning
Huaping Liu (2018)
10.1371/journal.pone.0173613
Local structure preserving sparse coding for infrared target recognition
Jing Han (2017)
10.1007/978-3-319-10605-2_39
Self-explanatory Sparse Representation for Image Classification
Bao-Di Liu (2014)
10.1016/j.patcog.2013.08.003
Fast and robust face recognition via coding residual map learning based adaptive masking
Meng Yang (2014)
Kernel Homotopy based sparse representation for object classification
Cuicui Kang (2012)
10.1109/TIP.2012.2197631
Cooperative Sparse Representation in Two Opposite Directions for Semi-Supervised Image Annotation
Zhong-Qiu Zhao (2012)
10.1109/DICTA.2011.20
Fast Kernel Sparse Representation
Hanxi Li (2011)
10.1109/TIP.2016.2587119
Multiple Kernel Sparse Representation-Based Orthogonal Discriminative Projection and Its Cost-Sensitive Extension
Guoqing Zhang (2016)
10.1109/ICASSP.2015.7178403
Multi-sensor classification via sparsity-based representation with low-rank interference
Minh Dao (2015)
10.1109/TMM.2012.2198458
Photo Stream Alignment and Summarization for Collaborative Photo Collection and Sharing
Jianchao Yang (2012)
10.1155/2014/415856
Integrating Globality and Locality for Robust Representation Based Classification
Zheng Zhang (2014)
1 Learning Framework : Introspective Learning
Yunhan Zhao (2018)
10.1016/J.NEUCOM.2019.05.004
Dictionary learning enhancement framework: Learning a non-linear mapping model to enhance discriminative dictionary learning methods
Arash Abdi (2019)
Face Recognition through Multi Model Image Features using GMM
Lavanya Gunasekaran (2014)
10.1109/LGRS.2017.2671852
Kernel Fused Representation-Based Classifier for Hyperspectral Imagery
Le Gan (2017)
10.1109/WACV.2015.35
Touch Gesture-Based Active User Authentication Using Dictionaries
Heng Zhang (2015)
10.1016/j.neucom.2014.02.044
Sparsity regularization label propagation for domain adaptation learning
Jianwen Tao (2014)
10.1109/CISP.2014.7003828
Face recognition based on dictionary learning and kernel sparse representation classifier
Ling Cao (2014)
10.1109/SMARTCOMP.2014.7043839
Kernel sparse representation based classification for undersampled problem
Zizhu Fan (2014)
10.1016/j.eswa.2014.11.069
Scene classification based on single-layer SAE and SVM
Hongpeng Yin (2015)
10.1007/s00521-013-1399-6
A new sparse representation-based classification algorithm using iterative class elimination
Xiaoning Song (2013)
10.5201/ipol.2017.204
Hyperspectral Image Classification Using Graph Clustering Methods
Zhaoyi Meng (2017)
See more
Semantic Scholar Logo Some data provided by SemanticScholar