Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
Lips shape extraction via active shape model and local binary pattern
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
Sign and magnitude of local patterns for image indexing and retrieval
International Journal of Computational Vision and Robotics
Automated Marsh-like classification of celiac disease in children using local texture operators
Computers in Biology and Medicine
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
An appearance-based approach to assistive identity inference using LBP and colour histograms
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Face authentication using adapted local binary pattern histograms
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Texture features in facial image analysis
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
A Coarse to Fine Facial Key Landmark Points Locating Algorithm Based on Active Shape Model
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
An HOG-CT human detector with histogram-based search
Multimedia Tools and Applications
Noise robust rotation invariant features for texture classification
Pattern Recognition
Semantic pixel sets based local binary patterns for face recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
WaveLBP based hierarchical features for image classification
Pattern Recognition Letters
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Accurate localization of representative points of a face is crucial to many face analysis and synthesis problems. Active Shape Model (ASM) is a powerful statistical tool for face alignment. However, it suffers from variations of pose, illumination and expressions. In this paper, we analyze the mechanism of Active Shape Model and realize that the ability of profiles normal to describe local appearance pattern is very limited. For efficient appearance pattern representation, local binary pattern is used and extended to describe local patterns of facial key points. For the purpose of retaining spatial information, sub-images of key points are divided into several regions, which are combined to define the extended local binary pattern (ELBP) histogram. Then we propose an improved ASM method framework, ELBP-ASM, in which local appearance patterns of key points are modelled using extended local binary pattern. Experimental results demonstrate that ELBP-ASM achieves more accurate results compared with original method used in ASM.