Biometric recognition refers to the automated recognition of individuals based on their
biological and behavioral characteristics such as fingerprint, face, iris, and voice. The first …

As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

This paper proposes a novel local feature descriptor, local directional number pattern (LDN),
for face analysis, ie, face and expression recognition. LDN encodes the directional …

This paper presents a novel and efficient facial image representation based on local binary
pattern (LBP) texture features. The face image is divided into several regions from which the …

This paper proposes a novel high-order local pattern descriptor, local derivative pattern
(LDP), for face recognition. LDP is a general framework to encode directional pattern …

The Face Recognition Technology (FERET) program database is a large database of facial
images, divided into development and sequestered portions. The development portion is …

We set ourselves the task of recognizing persons from single images by reference to a
gallery, which also contained only one image per person. Our problem was to address …

A number of current face recognition algorithms use face representations found by
unsupervised statistical methods. Typically these methods find a set of basis images and …

Three experiments investigated the ability of human observers to extract the joint and
conditional probabilities of shape cooccurrences during passive viewing of complex visual …