A novel local wavelet energy mesh pattern (LWEMeP) for heterogeneous face recognition

Image and Vision Computing - Tập 72 - Trang 1-13 - 2018
Hiranmoy Roy1, Debotosh Bhattacharjee2
1Department of Information Technology, RCC Institute of Information Technology, Canal South Road, Beliaghata, Kolkata 700015, India
2Department of Computer Science and Engineering, Jadavpur University, Kolkata 700032, India

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Unar, 2014, A review of biometric technology along with trends and prospects, Elsevier J. Pattern Recogn., 47, 2673, 10.1016/j.patcog.2014.01.016

Jain, 2016, 50 years of biometric research: accomplishments, challenges, and opportunities, Elsevier J. Pattern Recogn. Lett., 79, 80, 10.1016/j.patrec.2015.12.013

Zhang, 2015, On the effectiveness of soft biometrics for increasing face verification rates, Elsevier J. Comput. Vis. Image Underst., 137, 50, 10.1016/j.cviu.2015.03.003

Zafeiriou, 2015, A survey on face detection in the wild: past, present and future, Elsevier J. Comput. Vis. Image Underst., 138, 1, 10.1016/j.cviu.2015.03.015

Li, 2007, Illumination invariant face recognition using NIR images, IEEE Trans. Pattern Anal. Mach. Intell., 29, 627, 10.1109/TPAMI.2007.1014

Li, 2009

Bourlai, 2016, Face recognition outside the visible spectrum, Elsevier J. Image Vis. Comput., 55, 14, 10.1016/j.imavis.2016.03.017

Tang, 2004, Face sketch recognition, IEEE Trans. Circ. Syst. Video Technol., 14, 50, 10.1109/TCSVT.2003.818353

Liu, 2005, A nonlinear approach for face sketch synthesis and recognition, 1005

Chen, 2009, Learning mappings for face synthesis from near infrared to visual light images, 156

Wang, 2009, Face photo-sketch synthesis and recognition, IEEE Trans. Pattern Anal. Mach. Intell., 31, 1955, 10.1109/TPAMI.2008.222

Li, 2008, Hallucinating faces from thermal infrared images, 465

Zhou, 2012, Markov weight fields for face sketch synthesis, 1091

Wang, 2013, Transductive face sketch-photo synthesis, IEEE Trans. Neural Netw., 24, 1364, 10.1109/TNNLS.2013.2258174

Song, 2014, Real-time exemplar-based face sketch synthesis, 800

Ouyang, 2016, A survey on heterogeneous face recognition: sketch, infra-red, 3D and low-resolution, Elsevier J. Image Vis. Comput., 56, 28, 10.1016/j.imavis.2016.09.001

Peng, 2016, Multiple representation-based face sketch-photo synthesis, IEEE Trans. Neural Netw. Learn. Syst., 27, 2201, 10.1109/TNNLS.2015.2464681

Lin, 2006, Inter-modality face recognition, 13

Yi, 2007, Face matching between near infrared and visible light images, 523

Lei, 2009, Coupled spectral regression for matching heterogeneous faces, 1123

Sharma, 2011, Bypassing synthesis: Pls for face recognition with pose, low-resolution and sketch, 593

Mignon, 2012, Cmml: a new metric learning approach for cross modal matching, 1

Lei, 2012, Coupled discriminant analysis for heterogeneous face recognition, IEEE Trans. Inf. Forensics Secur., 7, 1707, 10.1109/TIFS.2012.2210041

Kan, 2016, Multi-view discriminant analysis, IEEE Trans. Pattern Anal. Mach. Intell., 38, 188, 10.1109/TPAMI.2015.2435740

Liao, 2009, Heterogeneous face recognition from local structure of normalized appearance shared representation learning for heterogeneous face recognition

Klare, 2011, Matching forensic sketches to mug shot photos, IEEE Trans. Pattern Anal. Mach. Intell., 33, 639, 10.1109/TPAMI.2010.180

Zhang, 2011, Coupled information-theoretic encoding for face photo–sketch recognition, 513

Bhatt, 2012, Memetically optimized mcwld for matching sketches with digital face images, IEEE Trans. Inf. Forensics Secur., 7, 1522, 10.1109/TIFS.2012.2204252

Klare, 2013, Heterogeneous face recognition using kernel prototype similarities, IEEE Trans. Pattern Anal. Mach. Intell., 35, 1410, 10.1109/TPAMI.2012.229

Zhu, 2014, Matching nir face to vis face using transduction, IEEE Trans. Inf. Forensics Secur., 9, 501, 10.1109/TIFS.2014.2299977

Gong, 2013, Multi-feature canonical correlation analysis for face photo–sketch image retrieval, 617

Roy, 2016, Heterogeneous face matching using geometric edge-texture feature (getf) and multiple fuzzy-classifier system, Elsevier J. Appl. Soft Comput., 46, 967, 10.1016/j.asoc.2015.12.006

Roy, 2016, Local-gravity-face (LG-face) for illumination-invariant and heterogeneous face recognition, IEEE Trans. Inf. Forensics Secur., 11, 1412, 10.1109/TIFS.2016.2530043

Roy, 2017, Face sketch-photo recognition using local gradient checksum:lgcs, Springer Int. J. Mach. Learn. Cybern., 8, 1457, 10.1007/s13042-016-0516-0

Roy, 2016, Face sketch-photo matching using the local gradient fuzzy pattern, IEEE J. Intell. Syst., 31, 30, 10.1109/MIS.2016.44

Roy, 2017, A Novel Quaternary Pattern of Local Maximum Quotient for Heterogeneous Face Recognition

Huang, 2017, Robust face recognition with structural binary gradient patterns, Elsevier Pattern Recogn., 68, 126, 10.1016/j.patcog.2017.03.010

Peng, 2017, Graphical representation for heterogeneous face recognition, IEEE Trans. Pattern Anal. Mach. Intell., 39, 301, 10.1109/TPAMI.2016.2542816

Han, 2013, Matching composite sketches to face photos: a component-based approach, IEEE Trans. Inf. Forensics Secur., 8, 191, 10.1109/TIFS.2012.2228856

Mittal, 2014, Recognizing composite sketches with digital face images via Ssd dictionary, 1

Ngiam, 2011, Multimodal deep learning, 689

Srivastava, 2012, Multimodal learning with deep Boltzmann machines, 2222

Zhang, 2015

Yi, 2015, Shared Representation Learning for Heterogeneous Face Recognition

Mittal, 2015, Composite Sketch Recognition via Deep Network- a Transfer Learning Approach, 251

Liu, 2016, Transferring Deep Representation for NIR-VIS Heterogeneous Face Recognition, 1

Saxena, 2016, Heterogeneous Face Recognition with CNNs, 483

Hu, 2015

Huang, 2012, Learning Hierarchical Representations for Face Verification With Convolution Deep Belief Networks, 2

Sinha, 2006, Face recognition by humans: nineteen results all computer vision researchers should know about, Proc. IEEE, 94, 10.1109/JPROC.2006.884093

Gao, 2002, Face recognition using line edge map, IEEE Trans. Pattern Anal. Mach. Intell., 24, 764, 10.1109/TPAMI.2002.1008383

Chen, 2013, Face recognition using ensemble string matching, IEEE Trans. Image Process., 22, 4798, 10.1109/TIP.2013.2277920

Pun, 2002, Log-polar wavelet energy signatures for rotation and scale invariant texture classification, IEEE Trans. Pattern Anal. Mach. Intell., 24, 971, 10.1109/TPAMI.2002.1017623

Kim, 2007, Texture classification and segmentation using wavelet packet frame and Gaussian mixture model, Elsevier J. Pattern Recogn., 40, 1207, 10.1016/j.patcog.2006.09.012

Acharyya, 2001, Adaptive basis selection for multi texture segmentation by M-band wavelet packet frames

Shirazi, 2000, Texture classification based on Markov modeling in wavelet feature space, Elsevier J. Image Vis. Comput., 18, 967, 10.1016/S0262-8856(00)00039-1

Dagher, 2012, Subband effect of the wavelet fuzzy C-means features in texture classification, Elsevier J. Image Vis. Comput., 30, 896, 10.1016/j.imavis.2012.07.007

Wu, 2005, Optimal threshold selection algorithm in edge detection based on wavelet transform, Elsevier J. Image Vis. Comput., 23, 1159, 10.1016/j.imavis.2005.07.012

Shih, 2005, A wavelet-based multiresolution edge detection and tracking, Elsevier J. Image Vis. Comput., 23, 441, 10.1016/j.imavis.2004.11.005

Goh, 2011, Wavelet local binary patterns fusion as illuminated facial image preprocessing for face verification, Elsevier J. Expert Syst. Appl., 38, 3959, 10.1016/j.eswa.2010.09.057

Murala, 2014, Local mesh patterns versus local binary patterns: biomedical image indexing and retrieval, IEEE J. Biomed. Health Inf., 18, 929, 10.1109/JBHI.2013.2288522

Randen, 1999, Filtering for texture classification: a comparative study, IEEE Trans. Pattern Anal. Mach. Intell., 21, 291, 10.1109/34.761261

Zhang, 2013, Local energy pattern for texture classification using self-adaptive quantization thresholds, IEEE Trans. Image Process., 22, 31, 10.1109/TIP.2012.2214045

Ojala, 2002, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Trans. Pattern Anal. Mach. Intell., 24, 971, 10.1109/TPAMI.2002.1017623

Tan, 2010, Enhanced local texture feature sets for face recognition under difficult lighting conditions, IEEE Trans. Image Process., 19, 1635, 10.1109/TIP.2010.2042645

Rivera, 2013, Local directional number pattern for face analysis: face and expression recognition, IEEE Trans. Image Process., 22, 1740, 10.1109/TIP.2012.2235848

Liu, 2012, Extended local binary patterns for texture classification, Elsevier J. Image Vis. Comput., 30, 86, 10.1016/j.imavis.2012.01.001

Forouzan, 2010

Nguyen, 2014, Support local pattern and its application to disparity improvement and texture classification, IEEE Trans. Circ. Syst. Video Technol., 24, 263, 10.1109/TCSVT.2013.2254898

Li, 2013, The CASIA NIR-VIS 2.0 face database, 348

Vedaldi, 2014

Martinez, 1998, The AR face database