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MPCA: Multilinear Principal Component Analysis of Tensor Objects
It is shown that even without a fully optimized design, an MPCA-based gait recognition module achieves highly competitive performance and compares favorably to the state-of-the-art gait recognizers. Expand
Color Image Processing and Applications
This book claims to fill a niche in the provision of textbooks devoted to image processing by being devoted to colour aspects. It is aimed at researchers and practitioners working in the area ofExpand
Face recognition using LDA-based algorithms
A new algorithm is proposed that deals with both of the shortcomings in an efficient and cost effective manner of traditional linear discriminant analysis methods for face recognition systems. Expand
Face recognition using kernel direct discriminant analysis algorithms
This paper proposes a kernel machine-based discriminant analysis method, which deals with the nonlinearity of the face patterns' distribution and effectively solves the so-called "small sample size" (SSS) problem, which exists in most FR tasks. Expand
Nonlinear Digital Filters - Principles and Applications
This chapter discusses digital filters based on order statistics, Morphological image and signal processing, and Adaptive nonlinear filters. Expand
Kernel-Based Positioning in Wireless Local Area Networks
It is shown that, due to the variability of RSS features over space, a spatially localized positioning method leads to improved positioning results and a kernelized distance calculation algorithm for comparing RSS observations to RSS training records is presented. Expand
Order statistics in digital image processing
A family of nonlinear filters based on order statistics is presented. A mathematical tool derived through robust estimation theory, order statistics has allowed engineers to develop nonlinear filtersExpand
Vector directional filters-a new class of multichannel image processing filters
It is shown that VDF can achieve very good filtering results for various noise source models, and provides a link between single-channel image processing and multichannel image processing where both the direction and the magnitude of the image vectors play an important role in the resulting image. Expand
Directional processing of color images: theory and experimental results
The processing of color image data using directional information is studied. The class of vector directional filters (VDF), which was introduced by the authors in a previous work, is furtherExpand
Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
A new LDA method is proposed that attempts to address the SSS problem using a regularized Fisher's separability criterion and a scheme of expanding the representational capacity of face database is introduced to overcome the limitation that the LDA-based algorithms require at least two samples per class available for learning. Expand