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 …

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 …

Video surveillance systems are widely applied in a variety of fields. Hence, video-based
smoke detection is regarded as an effective and inexpensive way for fire detection in an …

Local binary pattern (LBP) is an effective texture descriptor which has successful
applications in texture classification and face recognition. Many extensions are made for …

A scattering vector is a local descriptor including multiscale and multi-direction co-
occurrence information. It is computed with a cascade of wavelet decompositions and …

This paper proposes a new approach to extract global image features for the purpose of
texture classification. The proposed texture features are obtained by generating an …

This paper proposes an effective scale-and rotation-invariant local binary pattern (LBP)
feature for texture classification. A circular neighboring set of an image pixel is defined as a …

We investigate rotation invariant image description and develop a linear model based
descriptor namely MiC, which is suited to modeling microscopic configuration of images. To …

Face recognition is one of the most important tasks in computer vision and Biometrics.
Texture is an important spatial feature useful for identifying objects or regions of interest in …

In this letter, we propose an efficient one-nearest-neighbor classifier of texture via the
contrast of local energy histograms of all the wavelet subbands between an input texture …