Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

Bedside caregivers assess infants' pain at constant intervals by observing specific
behavioral and physiological signs of pain. This standard has two main limitations. The first …

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 …

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 …

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 …

In this paper, a feature extraction method is developed for texture description. To obtain
discriminative patterns, we present a learning framework which is formulated into a three …

Facial expression recognition has been intensively studied for decades, notably by the
psychology community and more recently the pattern recognition community. What is more …

Medical image recognition is an important task in both computer vision and computational
biology. In the field of medical image classification, representing an image based on local …

In this paper, a new texture descriptor based on the local neighborhood intensity difference
is proposed for content based image retrieval (CBIR). For computation of texture features …

Traditional methods for video smoke detection can easily achieve very low training errors
but their generalization performances are not good due to arbitrary shapes of smoke, intra …