Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

In this paper, we propose a novel approach to compute rotation-invariant features from
histograms of local noninvariant patterns. We apply this approach to both static and dynamic …

摘要针对当前局部二值模式(Local binary pattern, LBP) 方法表现出的理论和实际应用价值,
系统综述了在纹理分析和分类, 人脸分析和识别以及其他检测与应用中的各种LBP 方法. 首先 …

This chapter provides an in-depth description of the LBP operator in spatial image domain.
The generic LBP operator, and its rotation-invariant and multiscale versions are introduced …

Face Recognition is the process of identifying and verifying the faces. Face recognition has
vast importance in the field of Security, Healthcare, Banking, Criminal Identification …

In this work, a symbolic approach for classification of plant leaves based on texture features
is proposed. Modified Local binary patterns (MLBP) is proposed to extract texture features …

In this work we propose a new online, low cost and fast approach based on computer vision
and machine learning to determine whether cutting tools used in edge profile milling …

Local binary descriptors are extensively used for image representation in many of the
computer vision applications. A majority of these local binary descriptors exploit the intensity …

In this paper, the three level descriptions from LTP and the directional features from LDP are
combined to form a new local feature descriptor, referred to as local directional ternary …

In view of the theoretical and practical value of local binary pattern (LBP), the various LBP
methods in texture analysis and classification, face analysis and recognition, and other …