This work focuses on hardware implementations of the ambiguity function defined in terms of signal operators for Synthetic Aperture Radar (SAR) sensor image formation applications. Due to the large quantity of data as...
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Performance of face verification systems can be adversely affected by a number of different mismatches (e.g. illumination, expression, alignment, etc.) between gallery and probe images. In this paper, we demonstrate t...
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This work deals with the development of a computational signal algebra framework for the modeling and simulation of digital image interferometry processing applications, exploiting the rapid prototyping capabilities o...
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This paper describes a platform-independent system which adds spatial auditory feedback to the icons of a computer interface in order to assist visually impaired individuals during icon location and selection. In this...
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ISBN:
(纸本)9806560531
This paper describes a platform-independent system which adds spatial auditory feedback to the icons of a computer interface in order to assist visually impaired individuals during icon location and selection. In this enhanced system, icons have 3D sound properties, in addition to their graphical properties. Each icon has a specific sound associated with it. As the cursor is moved throughout the interface, the user is able to hear, spatially, in which direction and at what distance each icon is located, with respect to the cursor.
Representing the face as a distribution of freely moving patches, which we refer to as a "free-parts" representation, has recently demonstrated some benefit in the task of face verification. This benefit can...
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ISBN:
(纸本)1901725294
Representing the face as a distribution of freely moving patches, which we refer to as a "free-parts" representation, has recently demonstrated some benefit in the task of face verification. This benefit can be largely attributed to the representation's natural ability to deal with local appearance variation within the face. Hitherto, a major limitation that has hindered the wider adoption of this type of facial representation, for the task of face verification, has been its poor ability to take advantage of prior knowledge concerning mismatches in context;such as pose. This paper goes some way to alleviating these limitations by making two novel contributions: (i) Demonstrating that free-parts distributions of a client's face for different poses overlap to such a degree that a considerable amount of discrimination is preserved in the intersection. (ii) Through the off-line estimation of subject-independent pose dependent priors, an alternative to the canonical log-likelihood measure can be employed that takes advantage of this intersection and is less sensitive to mismatch in the presence of pose variation.
In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount...
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In this paper three image quality metrics are compared: mean-square error (MSB), noise quality measure (NQM), and structural information metric (SIM). Such a comparison is made in order to evaluate the performance of ...
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Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many o...
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Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many other applications such as channel equalization, speech processing. Recently, it has been shown that the ICA can be also used for hyperspectral data compression. This paper investigates these two transforms in hyperspectral data compression and further evaluates their strengths and weaknesses in applications of target detection, mixed pixel classification and abundance quantification. In order to take advantage of the strengths of both transform, a new transform, called mixed PCA/ICA transform is developed in this paper. The idea of the proposed mixed PCA/ICA transform is derived from the fact that it can integrate different levels of information captured by the PCA and ICA. In doing so, it combines m principal components (PCs) resulting from the PCA and n independent components (ICs) generated by the ICA to form a new set of (m+n) mixed components used for hyperspectral data compression. The resulting transform is referred to as mixed (m,n)-PCA/ICA transform. In order to determine the total number of components, p needed to be generated for the mixed (m,m)-PCA/ICA transform, a recently developed virtual dimensionality (VD) is introduced to estimate the p where p = m + n. If m = p and n = 0, then mixed (m,n)-PCA/ICA transform is reduced to PCA transform. On the other hand, if m = 0 and n = p, then mixed (m,n)-PCA/ICA transform is reduced to ICA. Since various combinations of m and n have different impacts on the performance of the mixed PCA/ICA spectral/spatial compression in applications, experiments based on subpixel detection and mixed pixel quantification are conducted for performance evaluation.
Phase noise may be regarded as the most severe cause of performance degradation in OFDM systems. Hot-carriers (HCs), found in the CMOS synchronization circuits, are highmobility charge carriers that degrade the MOSFET...
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