The vulnerability of face recognition systems to presentation attacks (also known as direct
attacks or spoof attacks) has received a great deal of interest from the biometric community …

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 …

Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as
the image feature extractor in the textural image retrieval and classification. The LBP-based …

Vehicle detection and type recognition based on static images is highly practical and directly
applicable for various operations in a traffic surveillance system. This paper will introduce …

A facial expression emotion recognition based human-robot interaction (FEER-HRI) system
is proposed, for which a four-layer system framework is designed. The FEERHRI system …

This paper presents an effective image retrieval method by combining high-level features
from convolutional neural network (CNN) model and low-level features from dot-diffused …

Defect detection and classification of ceramic tile surface defects occurred in firing units are
usually performed by human observations in most factories. In this paper, an automatic …

The aim of an automatic video-based facial expression recognition system is to detect and
classify human facial expressions from image sequence. An integrated automatic system …

Color texture retrieval is a hot research area in image analysis. In this paper, we propose an
efficient color texture retrieval method by using copula model based on Gabor wavelets …

Since it is usually difficult and time-consuming to obtain sufficient training samples by
manually labeling, feature extraction, which investigates the characteristics of hyperspectral …