Results 11 to 20 of about 126,496 (264)

Local Binary Pattern Networks [PDF]

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Emerging edge devices such as sensor nodes are increasingly being tasked with non-trivial tasks related to sensor data processing and even application-level inferences from this sensor data. These devices are, however, extraordinarily resource-constrained in terms of CPU power (often Cortex M0-3 class CPUs), available memory (in few KB to MBytes), and ...
Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta 0001, Zhuowen Tu   +5 more
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Local Binary Patterns for Graph Characterization [PDF]

2018 24th International Conference on Pattern Recognition (ICPR), 2018
In this paper we propose a novel approach for defining Local Binary Patterns (LBP) to directly encode graph structure. LBP is a simple and widely used technique for texture analysis in static 2D images, and there is no work in the literature describing its generalisation to graphs.
Muhammad Jawad, Furqan Aziz, Edwin R. Hancock   +2 more
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RLBP: Robust Local Binary Pattern [PDF]

Procedings of the British Machine Vision Conference 2013, 2013
In this paper, we propose a simple and robust local descriptor, called the robust local binary pattern (RLBP). The local binary pattern (LBP) works very successfully in many domains, such as texture classification, human detection and face recognition. However, an issue of LBP is that it is not so robust to the noise present in the image.
Zhao Guoying, Chen Jie, Pietikäinen Matti, Kellokumpu Vili-Petteri   +3 more
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Local Binary Pattern Networks

CoRR, 2018
Memory and computation efficient deep learning architec- tures are crucial to continued proliferation of machine learning capabili- ties to new platforms and systems. Binarization of operations in convo- lutional neural networks has shown promising results in reducing model size and computing efficiency.
Jeng-Hau Lin, Yunfan Yang, Rajesh K. Gupta 0001, Zhuowen Tu   +3 more
openaire   +2 more sources

Sparse Multiscale Local Binary Patterns [PDF]

Procedings of the British Machine Vision Conference 2006, 2006
In a Local Binary Pattern (LBP) representation, circular point features are taken in their entirety as predicates and restricted to unif orm patterns with limited scales of small numbers of features in order to avoid large bin complexity. Such a design cannot fully exploit the discriminat ive capacity of the features available.
Yogesh Raja, Shaogang Gong
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Deep Local Binary Patterns

CoRR, 2017
Local Binary Pattern (LBP) is a traditional descriptor for texture analysis that gained attention in the last decade. Being robust to several properties such as invariance to illumination translation and scaling, LBPs achieved state-of-the-art results in several applications.
Kelwin Fernandes, Jaime S. Cardoso 0001
openaire   +2 more sources

COVID-19 respiratory sound analysis and classification using audio textures

Frontiers in Signal Processing, 2022
Since the COVID-19 outbreak, a major scientific effort has been made by researchers and companies worldwide to develop a digital diagnostic tool to screen this disease through some biomedical signals, such as cough, and speech.
Leticia Silva, Leticia Silva, Carlos Valadão, Lucas Lampier, Denis Delisle-Rodríguez, Eliete Caldeira, Teodiano Bastos-Filho, Teodiano Bastos-Filho, Sridhar Krishnan   +8 more
doaj   +1 more source

Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition [PDF]

2017 International Carnahan Conference on Security Technology (ICCST), 2017
Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins.
Aglio Caballero, Alicia, Ríos Sánchez, Belén, Sánchez Ávila, María del Carmen, Melcón de Giles, María José   +3 more
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Recognition of Facial Expressions using Local Mean Binary Pattern

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2017
In this paper, we propose a novel appearance based local feature extraction technique called Local Mean Binary Pattern (LMBP), which efficiently encodes the local texture and global shape of the face.
Mahesh M Goyani, Narendra Patel
doaj   +1 more source

A New Fast Local Laplacian Completed Local Ternary Count (FLL-CLTC) for Facial Image Classification

IEEE Access, 2020
Face recognition is one of the most interesting areas of research areas because of its importance in authentication and security. Differentiating between different facial images is not easy because of the similarities in facial features.
Khaled M. Alalayah, Reyazur Rashid Irshad, Taha H. Rassem, Badiea Abdulkarem Mohammed   +3 more
doaj   +1 more source