Results 171 to 180 of about 5,981 (216)
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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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Classification of Camouflage Images Using Local Binary Patterns (LBP)
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021 Hidden 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.
Erkan Bayram, Vasif V. Nabiyev
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The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds
IEEE Transactions on Image Processing, 2015In this paper, we present a novel and original framework, which we dubbed mesh-local binary pattern (LBP), for computing local binary-like-patterns on a triangular-mesh manifold. This framework can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to mesh surfaces. After describing the
Naoufel Werghi +2 more
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A modified approach of fragile watermarking using Local Binary Pattern (LBP)
2015 International Conference on Pervasive Computing (ICPC), 2015This paper proposes a modified approach of fragile watermarking. The watermark generation is based on Local Binary Pattern (LBP). The proposed method is having recovery ability. Local Binary Pattern (LBP) is an operator that describes the surroundings of a pixel by generating a LBP code.
Nitin N Patil
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Neurocomputing, 2013
Abstract Sometimes realistic face representation is confronted with blur or low-resolution face images, as a result, existing classification methods are not powerful and robust enough. This paper proposes a novel face representation approach (GLL) which fuses Gabor filter, Local Binary Pattern (LBP) and Local Phase Quantization (LPQ).
Jian-Ping Yin, Jianming Zhang
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Abstract Sometimes realistic face representation is confronted with blur or low-resolution face images, as a result, existing classification methods are not powerful and robust enough. This paper proposes a novel face representation approach (GLL) which fuses Gabor filter, Local Binary Pattern (LBP) and Local Phase Quantization (LPQ).
Jian-Ping Yin, Jianming Zhang
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A pixel based fragile watermarking technique using LBP (Local Binary Pattern)
2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), 2016The fragile watermarking technique presented in this paper is based on the pixel information. The authentication data is calculated from the pixels by using Local Binary Pattern concept. Spatial information of pixels is used for watermark calculation and it is having spatial relationship of pixels.
Nitin N Patil
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Local Binary Pattern (LBP) with application to variant object detection: A survey and method
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA), 2016This paper study about variants object detection by using local binary pattern. Local binary pattern is one of the famous method in object detection field because of its success used in object detection. The objective of object detection is to differentiate between object and background. However, LBP also has its own weaknesses in object detection. LBP
Mohd Safirin Karis +2 more
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IEEE Transactions on Image Processing, 2010 This paper proposes a novel high-order local pattern descriptor, Local Derivative Pattern (LDP), for face recognition. LDP is a general framework to encode directional pattern features based on local derivative variations.
Baochang Zhang +2 more
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The Mesh-LBP: Computing Local Binary Patterns on Discrete Manifolds
2013 IEEE International Conference on Computer Vision Workshops, 2013In this paper, we present a novel and original framework for computing Local Binary Pattern (LBP)-like patterns on a triangular mesh manifold. This framework, dubbed mesh-LBP can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to mesh surfaces. First, we describe the foundations, the
Naoufel Werghi +3 more
openaire +1 more source