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 …

Virtual Humans provides a much-needed definition of what constitutes a 'virtual human'and
places virtual humans within the wider context of Artificial Intelligence development. It …

A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA)
of multi-scale local binary pattern histograms is proposed for face recognition. The face …

Single-agent reinforcement learners in time-extended domains and multi-agent systems
share a common dilemma known as the credit assignment problem. Multi-agent systems …

Recently, cutting edge technologies to facilitate data collection have emerged on a large
scale. One of the most prominent is the in-vehicle data recorder (IVDR). There are multiple …

We propose a novel face recognition method that represents and classifies face images in
the feature space. It first assumes that in the feature space the test sample can be well …

This research aimed to integrate a face recognition capability in a smart door prototype. By
using a camera-based face recognition, the house owner does not need to make physical …

Autonomous vehicular technology has reduced the road casualties by detection of human
emotions. This paper describes the role and function of facial expressions in human …

Eigenface approach is one of the simplest and most efficient methods for face recognition. In
eigenface approach chosing the threshold, value is a very important factor for performance …

Facial image analysis is an important and popular research topic in the computer vision and
image processing area, which includes face detection, face recognition, facial expression …