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

The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

人脸检测问题最初作为自动人脸识别系统的定位环节被提出, 近年来由于其在安全访问控制,
视觉监测, 基于内容和检索和新一代人机界面等领域的应用价值, 开始作为一个独立的课题受到 …

Bit coin is the first digital currency to see widespread adoption. While payments are
conducted between pseudonyms, Bit coin cannot offer strong privacy guarantees: payment …

Previous generations of face recognition algorithms differ in accuracy for images of different
races (race bias). Here, we present the possible underlying factors (data-driven and …

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 …

Conventional representation based classifiers, ranging from the classical nearest neighbor
classifier and nearest subspace classifier to the recently developed sparse representation …

In this paper, we propose a computational model of the recognition of real world scenes that
bypasses the segmentation and the processing of individual objects or regions. The …

Deformable model fitting has been actively pursued in the computer vision community for
over a decade. As a result, numerous approaches have been proposed with varying …

We describe a new method of matching statistical models of appearance to images. A set of
model parameters control modes of shape and gray-level variation learned from a training …