Computer Science ›› 2020, Vol. 47 ›› Issue (12): 197-204.doi: 10.11896/jsjkx.191000054
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CHEN Xiao-wen, LIU Guang-shuai, LIU Wang-hua, LI Xu-rui
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[1] SHEN Y P.Learning of image motion blur invariant features[D].Chongqing:Chongqing University,2017. [2] DALAL N,TRIGGS B.Histograms of Oriented Gradients for Human Detection[C]//International Conference on Computer Vision &Pattern Recognition (CVPR'05).2005:886-893. [3] OJALA T,PIETIKÁNTEN M,HAWOODD.A comparativestudy of texture measure with classification based on featured distributions[J].Pattern Recognition,1996,29(1):51-59. [4] FLUSSER J,SUK T,SAIC S.Recognition of blurred images by the method of moments[J].IEEE Transactions on Image Processing,1996,5(3):533-538. [5] DAI X,LIU T,SHU H,et al.Pseudo-zernike moment invariants to blur degradation and their use in image recognition[C]//Intelligent Science and Intelligent Data Engineering.Springer,2013:90-97. [6] OJANSIVU V,HEIKKILÄ J.Blur insensitive texture classification using local phase quantization[C]//Image and Signal Processing.Springer,2008:236-243. [7] ZHU M,CAO Z,XIAO Y,et al.Beyond local phase quantiza-tion:Mid-level blurred image representation using fisher vector[C]//2015 IEEE International Conference on Image Processing (ICIP).IEEE,2015:1890-1894. [8] LI L,SHI F L,XU N N.Face recognition based on adaptively weighted[J].Opto-Electronic Engineering,2012,39(12):138-142. [9] WANG W W,CAO Z G.Recognition of blurred faces using local phase pattern[J].Electronics Letters,2012,48(20):1269. [10] BHATTACHARYA S,DASGUPTA A,ROUTRAY A.Robust face recognition of inferior quality images using Local Gabor Phase Quantization[C]//2016 IEEE Students' Technology Symposium (TechSym).IEEE,2017:294-298. [11] NGUYEN H T,HUONG TT N.Gender classification by LPQ features from intensity and Monogenic images[C]//2017 4th NAFOSTED Conference on Information and Computer Science.IEEE,2017:96-100. [12] XIAO Y,CAO Z,WANG L,et al.Local phase quantization plus:A principled method for embedding local phase quantization into fisher vector for blurred image recognition[J].Information Sciences,2017,420:77-95. [13] CHAN C H,TAHIR M A,KITTLER J,et al.Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,35(5):1164-1177. [14] AHONEN T,RAHTU E,OJANSIVU V,et al.Recognition of blurred faces using local phase quantization[C]//ICPR.2008:1-4. [15] GUO Z,ZHANG L,ZHANG D.A completed modeling of local binary pattern operator for texture classification[J].IEEE Transactions on Image Processing,2010,19(6):1657-1663. [16] ZHENG L P.Research on Second-order Differential Feature Extraction and Face Recognition[D].Kunming:Kunming University of Science and Technology ,2015. [17] YANG H X,LIU F,HE D L.Face recognition based on Laplace filter and Center-Symmetric Local Binary Pattern[J].Computer Engineering and Applications,2017,53(7):165-170. [18] LIU J F,ZUO X Q,WUL M.Edge detection of remote sensing image based on LOG algorithm and Otsu algorithm[J].Science of Surveying and Mapping,2015,40(1):107-109. [19] NANNI L,BRAHNAM S,LUMINI A,et al.Ensemble of local phase quantization variants with ternary encoding[M]//Local Binary Patterns:New Variants and Applications.Springer,Berlin,Heidelberg,2014:177-188. [20] WANG R,LI W,QIN R,et al.Blur image classification based on deep learning[C]//2017 IEEE International Conference on Imaging Systems and Techniques (IST).IEEE,2017:1-6. [21] YU D,WU X J.2DPCANet:a deep leaning network for face re-cognition[J].Multimedia Tools and Applications,2018,77(10):12919-12934. |
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