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OD-LBP: Orthogonal difference-local binary pattern for Face Recognition
Digital Signal Processing, 2021Abstract Most of the local descriptors exists today are based on the relationship between the neighborhood pixels and the center pixel by considering the 3 × 3 spatial window. Moving one step forward from the previous methodologies used, this research paper introduces the novel descriptor for Face analysis called as orthogonal difference ...
Shekhar Karanwal, Manoj Diwakar
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Neurocomputing, 2013
Abstract The spatially e nhanced l ocal b inary p attern (LBP) h istogram (eLBPH) methodology has attained an established position in the field of face recognition (FR) and derived many face analysis approaches. Their implementations follow a similar procedure: first divide a full facial image into some regions (subimages) and individually ...
Bo Yang, Songcan Chen
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Abstract The spatially e nhanced l ocal b inary p attern (LBP) h istogram (eLBPH) methodology has attained an established position in the field of face recognition (FR) and derived many face analysis approaches. Their implementations follow a similar procedure: first divide a full facial image into some regions (subimages) and individually ...
Bo Yang, Songcan Chen
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Boosting Local Binary Pattern (LBP)-Based Face Recognition
Chinese Conference on Biometric Recognition, 2004This paper presents a novel approach for face recognition by boosting statistical local features based classifiers The face image is scanned with a scalable sub-window from which the Local Binary Pattern (LBP) histograms [14] are obtained to describe the local features of a face image The multi-class problem of face recognition is transformed into a ...
Guangcheng Zhang +4 more
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2016 Second International Conference on Cognitive Computing and Information Processing (CCIP), 2016
The LBP is a technique used to extract textures of an image, especially in facial image analysis. As we are intended to extract more fine texture details of an image to increase the rate of facial similarity, we combined the techniques of LBP with Gabor filters to obtain a fine texture details.
Ravi Kumar Y.B., Ravi Kumar C.N.
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The LBP is a technique used to extract textures of an image, especially in facial image analysis. As we are intended to extract more fine texture details of an image to increase the rate of facial similarity, we combined the techniques of LBP with Gabor filters to obtain a fine texture details.
Ravi Kumar Y.B., Ravi Kumar C.N.
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Objects Tracking in Images Sequence Using Center-Symmetric Local Binary Pattern (CS-LBP)
International Journal of Computer Applications Technology and Research, 2013 In this paper we present a method for objects tracking in images sequence. This approach is achieved into two main steps. In the first one, we constructed the Center-Symmetric Local Binary Pattern (CS-LBP) histogram pattern of each image in the sequence and the reference pattern. In the second one, we perform the algorithm by the pattern selected based
Hanane. Rami +2 more
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Representation of Dorsal Hand Vein Pattern Using Local Binary Patterns (LBP)
International Conference on Codes, Cryptology, and Information Security, 2015In this revolutionized and digital world, the increasing need of security to protect individuals and information has led to a rise in developing biometric systems over traditional security systems such as pincode and password. Finding more reliable, practical and more acceptable biometrics and techniques are attracting the attention of researchers ...
Maleika Heenaye-Mamode Khan
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Classification of Camouflage Images Using Local Binary Patterns (LBP)
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021Hidden objects in camouflage images have almost the same texture, color and pattern features as the background image they are in. Since the camouflaged object shows almost identical texture features with the background, it is a very difficult problem to detect and classify.
BAYRAM, ERKAN, NABIYEV, VASIF
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ROBUSTNESS OF LOCAL BINARY PATTERN (LBP) OPERATORS TO TILT-COMPENSATED TEXTURES
2000MARICOR SORIANO +2 more
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Robust Texture Description Using Local Grouped Order Pattern and Non-Local Binary Pattern
IEEE transactions on circuits and systems for video technology (Print), 2021Local binary pattern (LBP) and its many variants have shown effectiveness for texture classification. However, most of these LBP methods focus on encoding local intensity differences between a central pixel and its neighboring sampling points and ...
Tiecheng Song +4 more
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Multidimensional Local Binary Pattern for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2022For the large amount of spatial and spectral information contained in hyperspectral image (HSI), feature description of HSI has attracted widespread concern in recent years.
Yanshan Li +3 more
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