Face Analysis Using Row and Correlation Based Local Directional Pattern

Main Article Content

Srinivasa Perumal Ramalingam
Chandra Mouli

Face analysis, which includes face recognition and facial expression recognition, has been attempted by many researchers and gave ideal solutions. The problem is still active and challenging due to an increase in the complexity of the problem viz. due to poor lighting, face occlusion, low-resolution images, etc. Local pattern descriptor methods introduced to overcome these critical issues and improve the recognition rate. These methods extract the discriminant information from the local features of the face image for recognition. In this paper, the local descriptor based two methods, namely row-based local directional pattern and correlation-based local directional pattern proposed by extending an existing descriptor -- local directional pattern (LDP). Further, the two feature vectors obtained by these methods concatenated to form a hybrid descriptor. Experimentation has carried out on benchmark databases and results infer that the proposed hybrid descriptor outperforms the other descriptors in face analysis.

Paraules clau
Features and image descriptors, Object description and recognition, Feature analysis, Image analysis and processing, Biometrics

Article Details

Com citar
Ramalingam, Srinivasa Perumal; Mouli, Chandra. «Face Analysis Using Row and Correlation Based Local Directional Pattern». ELCVIA: electronic letters on computer vision and image analysis, 2020, vol.VOL 19, núm. 3, p. 55-70, http://raco.cat/index.php/ELCVIA/article/view/375323.
Referències
Ojala, Timo and Pietikainen, Matti and Harwood, David, “A comparative study of texture measures with classification based on featured distributions”, Pattern recognition, Vol. 26, No. 1, pp. 51-59, 1996.

Sirovich, Lawrence and Kirby, Michael, “The AR Face Database”, CVC Technical Report, 1998.

Lyons, Michael and Akamatsu, Shigeru and Kamachi, Miyuki and Gyoba, Jiro, “Coding facial expressions
with gabor wavelets”, IEEE International Conference on Automatic Face and Gesture Recognition, pp
200-205, 1998.

Kanade, Takeo and Cohn, Jeffrey F and Tian, Yingli, “Comprehensive database for facial expression analysis”,International Conference on Automatic Face and Gesture Recognition, pp. 46-53, 2000.

Phillips, P Jonathon and Moon, Hyeonjoon and Rizvi, Syed A and Rauss, Patrick J, “The FERET evaluation methodology for face-recognition algorithms”,IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 22, No 10, pp.1090-1104, 2000.

AT and TLaboratories, “Database of Faces”, http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html, 2002.

Ojala, Timo and Pietikainen, Matti and M ¨ aenp ¨ a¨a, Topi,“Multiresolution gray-scale and rotation invariant texture classification with local binary patterns”,IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 24, No 7, pp. 971-987, 2002.

Ahonen, Timo and Hadid, Abdenour and Pietikainen, Matti, “Face recognition with local binary patterns”, International Jounal of Computer Vision, pp. 469–481, 2004.

Lee, Kuang-Chih and Ho, Jeffrey and Kriegman, David J, “Acquiring linear subspaces for face recognition under variable lighting”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 27, No 5, pp.684-698, 2005.

Ahonen, Timo and Hadid, Abdenour and Pietikainen, Matti, “Face description with local binary patterns: Application to face recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.28 , No. 12 ,pp. 2037-2041, 2006.

Huang, Gary B and Ramesh, Manu and Berg, Tamara and Learned-Miller, Erik, “Labeled faces in the
wild: A database for studying face recognition in unconstrained environments”, Technical Report 07-49, University of Massachusetts, Amherst, 2007.

Hadid, Abdenour and Zhao, Guoying and Ahonen, Timo and Pietikainen, Matti, “Face analysis using local binary patterns”, Handbook of Texture Analysis, pp. 347–373, 2008.

Shan, Caifeng and Gong, Shaogang and McOwan, Peter W, “Facial expression recognition based on local
binary patterns: A comprehensive study”, Image and Vision Computing, Vol.27, No.6, pp. 803-816, 2009.

Jabid, Taskeed and Kabir, Md Hasanul and Chae, Oksam, “Local directional pattern (ldp) for face recognition”, International Conference on Consumer Electronics, pp. 329-330, 2010.

Jabid, Taskeed and Kabir, Md Hasanul and Chae, Oksam, “Local directional pattern (LDP)–A robust
image descriptor for object recognition”,International Conference on Advanced Video and Signal Based
Surveillance, pp. 482-487, 2010.

Jabid, Taskeed and Kabir, Md Hasanul and Chae, Oksam, “Facial expression recognition using local
directional pattern (LDP)”,International Conference on Image Processing, pp. 1605-1608, 2010.

Tan, Xiaoyang and Triggs, Bill, “Enhanced local texture feature sets for face recognition under difficult lighting conditions”, ETRI journal, Vol. 19, No.6, pp. 1635-1650, 2010.

Zhang, Baochang and Gao, Yongsheng and Zhao, Sanqiang and Liu, Jianzhuang, “Local derivative pattern
versus local binary pattern: face recognition with high-order local pattern descriptor”, IEEE Transactions on Image Processing, Vol. 19, No. 2, pp. 533-544, 2010.

Wolf, Lior and Hassner, Tal and Taigman, Yaniv, “Effective unconstrained face recognition by combining multiple descriptors and learned background statistics”, IEEE Transactions on pattern analysis and machine intelligence, Vol. 33, No. 10, pp. 1978-1990.

Hasanul Kabir, Taskeed Jabid and Chae, Oksam, “Local Directional Pattern Variance (LDPv): A robust
feature descriptor for facial expression recognition”, Int Arab J Inf Technol, Vol. 9, No. 4, pp. 382-391, 2012.

Ishraque, SM Zahid and Banna, AKM Hasanul and Chae, Oksam (2012), “Local Gabor directional pattern
for facial expression recognition”, International Conference on Computer and Information Technology, pp. 164-167, 2012.

Ramirez Rivera, Adin and Rojas Castillo, Jorge and Chae, Oksam (2013), “Local directional number
pattern for face analysis: Face and expression recognition”, IEEE Transactions on Image Processing, Vol 22, No 5, pp. 1740-1752, 2013.

Zhong, Fujin and Zhang, Jiashu, “Face recognition with enhanced local directional patterns”, Neurocomputing, Vol 119, No 5, pp. 375-384, 2013.

Dhall, Abhinav and Ramana Murthy, OV and Goecke, Roland and Joshi, Jyoti and Gedeon, Tom, “Video
and image based emotion recognition challenges in the wild: Emotiw 2015”, International Conference on
Multimodal Interaction, pp.423-426, 2015.

Levi, Gil and Hassner, Tal, “Emotion recognition in the wild via convolutional neural networks and
mapped binary patterns”, International Conference on Multimodal Interaction, pp.503-510, 2015.

Liu, Jun and Jing, Xiaojun and Sun, Songlin and Lian, Zifeng , “Local Gabor dominant direction pattern for face recognition”, Chinese Journal of Electronics, Vol 24, No 2, pp. 245-250, 2015.

Nguyen, Huu-Tuan and Caplier, Alice, “Local patterns of gradients for face recognition”, IEEE Transactions on Information Forensics and Security, Vol 10, No 8 , pp. 1739-1751, 2015.

Fathi, Abdolhossein and Alirezazadeh, Pendar and Abdali-Mohammadi, Fardin, “A new Global-GaborZernike feature descriptor and its application to face recognition”, Journal of Visual Communication and
Image Representation, Vol 38, pp. 65-72, 2016.

Srinivasa Perumal.R and Chandra Mouli P.V.S.S.R, “A Comparative Analysis of Local Pattern Descriptors
for Face Recognition ”, Knowledge Computing and its Applications, Springer, pp. 129-154, 2018.

Srinivasa Perumal, R and Chandra Mouli, P.V.S.S.R , “Two-level dimensionality reduced local directional pattern for face recognition”, International Journal of Biometrics, Vol 8, No 1, pp. 52-64, 2016.

Srinivasa Perumal, R and Chandra Mouli, P.V.S.S.R, “Dimensionality reduced local directional pattern
(DR-LDP) for face recognition”, Expert Systems with Applications, Vol 63, pp.66-73, 2016.

Yoo, Cheol-Hwan and Kim, Seung-Wook and Jung, June-Young and Ko, Sung-Jea (2017), “Highdimensional feature extraction using bit-plane decomposition of local binary patterns for robust face recognition”, Journal of Visual Communication and Image Representation, Vol 45, pp.11–19, 2017.

Srinivasa Perumal, R and Chandra Mouli, P.V.S.S.R ,“Dimensionality reduced local directional number
pattern for face recognition”, Journal of Ambient Intelligence and Humanized Computing, Vol 9, No 1 , pp. 95-103, 2018.

Srinivasa Perumal, R and Chandra Mouli, P.V.S.S.R , “Modified dimensionality reduced local directional pattern for facial analysis”, Journal of Ambient Intelligence and Humanized Computing, Vol 9, No 3 , pp. 725-737, 2018.