Micro-expressions are brief involuntary facial expressions that reveal genuine emotions and,
thus, help detect lies. Because of their many promising applications, they have attracted the …

We present an algorithm that uses a low resolution 3D sensor for robust face recognition
under challenging conditions. A preprocessing algorithm is proposed which exploits the …

This paper proposes new color local texture features, ie, color local Gabor wavelets
(CLGWs) and color local binary pattern (CLBP), for the purpose of face recognition (FR). The …

This paper presents the concept of color space normalization (CSN) and two CSN
techniques, ie, the within-color-component normalization technique (CSN-I) and the across …

Face recognition algorithms generally utilize 2D images for feature extraction and matching.
To achieve higher resilience toward covariates, such as expression, illumination, and pose …

As one of the fundamental features, color provides useful information and plays an important
role for face recognition. Generally, the choice of a color space is different for different visual …

A locally linear K Nearest Neighbor (LLK) method is presented in this paper with
applications to robust visual recognition. Specifically, the concept of an ideal representation …

In many of the computer vision applications, color-to-grayscale conversion algorithms are
required to preserve the salient features of the color images, such as brightness, contrast …

Recent research efforts reveal that color may provide useful information for face recognition.
For different visual tasks, the choice of a color space is generally different. How can a color …

The conventional nearest neighbor classifier (NNC) directly exploits the distances between
the test sample and training samples to perform classification. NNC independently evaluates …