Many problems in information processing involve some form of dimensionality reduction. In
this paper, we introduce Locality Preserving Projections (LPP). These are linear projective …

We present a generative appearance-based method for recognizing human faces under
variation in lighting and viewpoint. Our method exploits the fact that the set of images of an …

Objective: State-of-the-art techniques for surgical data analysis report promising results for
automated skill assessment and action recognition. The contributions of many of these …

Making recognition more reliable under uncontrolled lighting conditions is one of the most
important challenges for practical face recognition systems. We tackle this by combining the …

To uncover an appropriate latent subspace for data representation, in this paper we propose
a novel Robust Structured Subspace Learning (RSSL) algorithm by integrating image …

Face recognition (FR) is one of the most popular and long-standing topics in computer
vision. With the recent development of deep learning techniques and large-scale datasets …

Sparse Representation-Based Classification (SRC) is a face recognition breakthrough in
recent years which has successfully addressed the recognition problem with sufficient …

Publisher Summary This chapter explains the iris recognition algorithms and presents
results of 9.1 million comparisons among eye images from trials in Britain, the USA, Japan …

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 the context of the appearance-based paradigm for object recognition, it is generally
believed that algorithms based on LDA (linear discriminant analysis) are superior to those …