LBP in Different Applications

Due to its excellent performance, robustness to illumination variations and computational efficiency the LBP has been used in a wide variety of different image analysis problems and applications around the world. Among the most important areas of application are face analysis, biometrics, biomedical image analysis, industrial inspection and video analysis. This chapter presents a brief introduction to some representative papers from different application areas.

[1]  Loris Nanni,et al.  Local binary patterns for a hybrid fingerprint matcher , 2008, Pattern Recognit..

[2]  Horst Bischof,et al.  On-line Boosting and Vision , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[3]  Wen Gao,et al.  Object detection using spatial histogram features , 2006, Image Vis. Comput..

[4]  Wonjun Kim,et al.  A New Approach for Overlay Text Detection and Extraction From Complex Video Scene , 2009, IEEE Transactions on Image Processing.

[5]  Ehsanollah Kabir,et al.  Fabric Defect Detection Using Modified Local Binary Patterns , 2008, EURASIP J. Adv. Signal Process..

[6]  Duy-Dinh Le,et al.  Efficient concept detection by fusing simple visual features , 2009, SAC '09.

[7]  Shuicheng Yan,et al.  Discriminative local binary patterns for human detection in personal album , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Matti Pietikäinen,et al.  Paper characterisation by texture using visualisation-based training , 2003 .

[9]  Shigeru Kuriyama,et al.  Data-Embeddable Texture Synthesis , 2007, Smart Graphics.

[10]  Matti Pietikäinen,et al.  Visual Inspection of Parquet Slabs by Combining Color and Texture , 2000, MVA.

[11]  David R. Bull,et al.  Projective image restoration using sparsity regularization , 2013, 2013 IEEE International Conference on Image Processing.

[12]  Ahmet Ekin,et al.  Local Structure-Based Region-of-Interest Retrieval in Brain MR Images , 2010, IEEE Transactions on Information Technology in Biomedicine.

[13]  David Zhang,et al.  Robust Object Tracking Using Joint Color-Texture Histogram , 2009, Int. J. Pattern Recognit. Artif. Intell..

[14]  Matti Pietikäinen,et al.  Dynamic texture synthesis using a spatial temporal descriptor , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[15]  Devrim Ünay,et al.  Automatic detection of body parts in x-ray images , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[16]  Rainer Hoch,et al.  IAPR Workshop on Machine Vision Applications, MVA '92 , 1993, Künstliche Intell..

[17]  Matti Pietikäinen,et al.  Real-time surface inspection by texture , 2003, Real Time Imaging.

[18]  Henk Corporaal,et al.  Mapping facial expression recognition algorithms on a low-power smart camera , 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

[19]  Horst Bischof,et al.  On-line boosting-based car detection from aerial images , 2008 .

[20]  Shuicheng Yan,et al.  An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[21]  Tao Wang,et al.  Markov chain local binary pattern and its application to video concept detection , 2008, 2008 15th IEEE International Conference on Image Processing.

[22]  John J. Soraghan,et al.  Quantitative Analysis of Facial Paralysis Using Local Binary Patterns in Biomedical Videos , 2009, IEEE Transactions on Biomedical Engineering.

[23]  Karsten Berns,et al.  Local Binary Pattern Based Texture Analysis in Real Time using a Graphics Processing Unit (long version) , 2008 .

[24]  Lauge Sørensen,et al.  Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns , 2010, IEEE Transactions on Medical Imaging.

[25]  Nasir D. Memon,et al.  Image Steganalysis with Binary Similarity Measures , 2005, EURASIP J. Adv. Signal Process..

[26]  Richard Szeliski,et al.  Video textures , 2000, SIGGRAPH.

[27]  Huchuan Lu,et al.  A novel method for gaze tracking by local pattern model and support vector regressor , 2010, Signal Process..

[28]  Max Q.-H. Meng,et al.  Texture analysis for ulcer detection in capsule endoscopy images , 2009, Image Vis. Comput..

[29]  Marwan Mattar,et al.  Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .

[30]  Jun Kong,et al.  Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development , 2009, Pattern Recognit..

[31]  Bülent Sankur,et al.  Blind Identification of Source Cell-Phone Model , 2008, IEEE Transactions on Information Forensics and Security.

[32]  Ari Paasio,et al.  A Massively Parallel Face Recognition System , 2007, EURASIP J. Embed. Syst..

[33]  Matti Pietikäinen,et al.  Face and Eye Detection for Person Authentication in Mobile Phones , 2007, 2007 First ACM/IEEE International Conference on Distributed Smart Cameras.

[34]  Xavier Lladó,et al.  A textural approach for mass false positive reduction in mammography , 2009, Comput. Medical Imaging Graph..

[35]  Myung Jin Chung,et al.  Cognitive face analysis system for future interactive TV , 2009, IEEE Transactions on Consumer Electronics.

[36]  Olli Silvén,et al.  Wood Inspection With Non-Supervised Clustering , 2000 .

[37]  Alan Hanjalic,et al.  Eye localization in low and standard definition content with application to face matching , 2009, Comput. Vis. Image Underst..

[38]  Lawrence H. Staib,et al.  IEEE Workshop on Mathematical Methods in Biomedical Image Analysis , 2001 .

[39]  Bin Zhu,et al.  Novel separation method of black walnut meat from shell using invariant features and a supervised self-organizing map , 2008 .

[40]  Xiaogang Wang,et al.  Boosted multi-task learning for face verification with applications to web image and video search , 2009, CVPR.

[41]  Xiaoxin Shang,et al.  Local Absolute Binary Patterns as Image Preprocessing for Grip-Pattern Recognition in Smart Gun , 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.

[42]  Yuandong Tian,et al.  EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking , 2007, CHI.

[43]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[44]  Tao Wang,et al.  One step beyond histograms: Image representation using Markov stationary features , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[45]  Timo Ojala,et al.  Experiments with two industrial problems using texture classification based on feature distributions , 1994, Other Conferences.

[46]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[47]  Joachim M. Buhmann,et al.  Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients , 2008, MICCAI.

[48]  Kang Ryoung Park,et al.  Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction , 2009 .

[49]  Lei Huang,et al.  Crowd Estimation Using Multi-Scale Local Texture Analysis and Confidence-Based Soft Classification , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[50]  Xihong Wu,et al.  Boosting Local Binary Pattern (LBP)-Based Face Recognition , 2004, SINOBIOMETRICS.

[51]  Andrew Beng Jin Teoh,et al.  Touch-less palm print biometrics: Novel design and implementation , 2008, Image Vis. Comput..

[52]  Yaniv Taigman,et al.  Descriptor Based Methods in the Wild , 2008 .

[53]  Javier Ruiz-del-Solar,et al.  Recognition of Faces in Unconstrained Environments: A Comparative Study , 2009, EURASIP J. Adv. Signal Process..

[54]  Loris Nanni,et al.  A reliable method for cell phenotype image classification , 2008, Artif. Intell. Medicine.