These days, face recognition systems are widely being employed in various daily
applications such as smart phone unlocking, tracking school attendance, and secure online …

Geometric alignment of 3D pointclouds, obtained using a depth sensor such as a time-of-
flight camera, is a challenging task with important applications in robotics and computer …

In this paper, a new technique coined two-dimensional principal component analysis
(2DPCA) is developed for image representation. As opposed to PCA, 2DPCA is based on …

In this paper we describe a database of static images of human faces. Images were taken in
uncontrolled indoor environment using five video surveillance cameras of various qualities …

Person re-identification has been widely studied due to its importance in surveillance and
forensics applications. In practice, gallery images are high-resolution (HR) while probe …

This paper examines the theory of kernel Fisher discriminant analysis (KFD) in a Hilbert
space and develops a two-phase KFD framework, ie, kernel principal component analysis …

In order to improve the quality of a software system, software defect prediction aims to
automatically identify defective software modules for efficient software test. To predict …

We report on the largest experimental study to date in multimodal 2D+ 3D face recognition,
involving 198 persons in the gallery and either 198 or 670 time-lapse probe images. PCA …

In this article we compare 14 distance measures and their modifications between feature
vectors with respect to the recognition performance of the principal component analysis …

Face recognition is one of the most successful applications of image analysis and
understanding and has gained much attention in recent years. Various algorithms were …