Most deep learning-based action recognition models focus only on short-term motions, so
the model often causes misjudgments of actions that are combined by multiple processes …

This paper performs a comprehensive and comparative evaluation of the state-of-the-art
local features for the task of image-based 3D reconstruction. The evaluated local features …

Dynamic texture and scene classification are two fundamental problems in understanding
natural video content. Extracting robust and effective features is a crucial step towards …

Abstract Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit
certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT …

Visual smoke segmentation is widely used for fire detection, simulation, human evacuation
and pollution monitoring. However, it is challenging to accurately separate smoke from a …

Texture is an important characteristic for many types of images. In recent years, very
discriminative and computationally efficient local texture descriptors based on local binary …

Representing dynamic textures (DTs) plays an important role in many real implementations
in the computer vision community. Due to the turbulent and non-directional motions of DTs …

Recognizing facial images captured under visible light has long been discussed in the past
decades. However, there are many impact factors that hinder its successful application in …

Color information plays an important role in the color image segmentation and real-time
color sensor, which affects the result of video image segmentation and correct real-time …

Local binary descriptors, such as local binary pattern (LBP) and its various variants, have
been studied extensively in texture and dynamic texture analysis due to their outstanding …