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Variational-based method to extract parametric shapes from images

Variational-based method to extract parametric shapes from i...

引用

Proceedings - 10th IEEE International Conference on computer vision, ICCV 2005

作者： El-Melegy, Moumen T. Al-Ashwal, Nagi H. Farag, Aly A. Electrical Engineering Department Assiut University Assiut 71516 Egypt Computer Vision and Image Processing Lab. University of Louisville KY 40292

ISBN: (纸本)076952334X

In this paper, we propose a variational method to segment image objects, which have a given parametric shape based on a level-set formulation of the Mumford-Shah functional, and the shape parameters. We define an energy functional composed by two complementary terms. The first one detects object boundaries using a Chan-Vese-like method. The second term constrains the contour to find a shape compatible with the parametric shape. The segmentation of the object of interest is given by the minimum of our energy functional. This minimum is computed with the calculus of variation and the gradient descent method that provide a system of evolution equations solved with the well-known level set method. We focus in this paper on the parametric category of image linear objects. Applications of the proposed model are presented on synthetic and real images. © 2005 IEEE.

关键词： image segmentation

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Three-dimensional optical remote sensing using optical scanning holography

Three-dimensional optical remote sensing using optical scann...

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Current Research on image processing for 3D Information Displays

作者： Poon, Ting-Chung Optical Image Processing Laboratory Bradley Department of Electrical and Computer Engineering Virginia Tech. Blacksburg VA 24061 United States

No abstract available

ISBN: (纸本)0819458066

No abstract available

关键词： optical heterodyning depth detection optical scanning holography optical remote sensing optical remote sensing Optical scanning Optical heterodyning Holography Targets

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Mixed PCA/ICA spectral/spatial compression for hyperspectral imagery

Mixed PCA/ICA spectral/spatial compression for hyperspectral...

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Chemical and Biological Standoff Detection III

作者： Wang, Jing Chang, Chein-I. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250

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.

关键词： image compression

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Approximation of a linear shift-variant system by a set of linear shift-invariant systems

Approximation of a linear shift-variant system by a set of l...

引用

ISSCS 2005: International Symposium on Signals, Circuits and Systems

作者： Buzuloiu, Vasile Malciu, Marius Mitra, Sanjit K. Image Processing and Analysis Laboratory University Politehnica of Bucharest Bucharest Romania CERN Geneva Department of Electrical and Computer Engineering University of California Santa Barbara

ISBN: (纸本)0780390296

This paper describes a method to approximate the impulse response or a linear shift-variant system by the impulse responses of a set of linear shift-invariant systems which process in parallel on various windowed versions of the input signal The method is outlined for one-dimensional systems but the extension to multidimensional case is straightforward. © 2005 IEEE.

关键词： Linear systems

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Variational-based method to extract parametric shapes from images

Variational-based method to extract parametric shapes from i...

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International Conference on computer vision (ICCV)

作者： M.T. El-Melegy N.H. Al-Ashwal A.A. Farag Electrical Engineering Department Assiut University Asyut Egypt Computer Vision and Image Processing Laboratory University of Louisville KY USA

关键词： Shape image segmentation Level set computer vision Focusing image processing Object detection Calculus Application software Equations

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Design of fast algorithms for pixel purity index for endmember extraction in hyperspectral imagery

Design of fast algorithms for pixel purity index for endmemb...

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Annual Conference 2005 - Geospatial Goes Global: From Your Neighborhood to the Whole Planet

作者： Chaudhry, Farzeen Chakravarty, Sumit Plaza, Antonio Chang, Chein-I. Department of Computer Science and Electrical Engineering Remote Sensing Signal and Image Processing Laboratory University of Maryland Baltimore MD 21250 United States Computer Science Department University of Extremadura Avda. de la Universidad s/n 10.071 Caceres Spain

ISBN: (纸本)1570830762

This paper presents new fast algorithms to improve the widely used endmember extraction algorithm, called pixel purity index (PPI) and also modify a revised version of PPI, called block of skewers (BOS) method. Since both the PPI and the BOS method suffer from same drawbacks in implementation, our proposed algorithms are designed to mitigate these dilemmas by introducing a newly developed concept, called virtual dimensionality (VD) and a process that can automatically determine a set of endmembers without appealing for parameters used in the PPI and BOS method. As a result, two modified PPI and BOSPPI algorithms are developed. Unlike the PPI and BOS method, the two new algorithms are iterative and provide stopping rules to automatically extract endmembers without manually selecting endmembers. The experimental study shows that the MPPI performs better than the PPI not only in computational complexity, but also in stability and performance, and the MBOSPPI could perform better than the BOS method if the blocks of skewers are properly designed. © 2005 by the American Society for Photogrammetry and Remote Sensing.

关键词： Iterative methods

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A robust matching algorithm for active appearance models 1

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Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2005 - Workshop on image processing for Medicine: Algorithms - Systems - Applications, BVM 2005

作者： Beichel, Reinhard Bischof, Horst Langs, Georg Sonka, Milan Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16/2 A-8010 Graz Austria Pattern Recognition and Image Processing Group Vienna University of Technology Favoritenstr. 9 A-1040 Vienna Austria Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States

ISBN: (数字)9783540264316

ISBN: (纸本)3540250522

This paper proposes a method for robustly matching active appearance models (AAMs) on images with gross disturbances (outliers). The method consists of two steps. First, an initial residual is calculated by comparing model and image appearance, and modes of the residual are analyzed. Second, all possible mode combinations are tested by evaluating an objective function. The objective function allows the selection of an outlier-free mode combination. Experiments demonstrate the ability of the robust matching method to successfully cope with outliers - compared to standard AAM matching, no degeneration of the model during matching occurs.

关键词： Statistics

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IMPROVED SPEECH READING THROUGH A FREE-PARTS REPRESENTATION

IMPROVED SPEECH READING THROUGH A FREE-PARTS REPRESENTATION

引用

2005 International Conference on Auditory-Visual Speech processing, AVSP 2005

作者： Lucey, Simon Lucey, Patrick Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States Speech Audio Image and Video Research Laboratory Queensland University of Technology GPO Box 2424 Brisbane4001 Australia

Motivated by the success of free-parts based representations in face recognition [1] we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent automatic speech reading. Hitherto, a major problem with canonical area-based approaches in automatic speech reading is the intrinsic lack of training observations due to the visual speech modality’s low sample rate and large variability in appearance. We believe a free-parts representation can overcome many of these limitations due to its natural ability to generalize by producing many observations from a single mouth image, whilst still preserving the ability to discriminate between various visual-speech units. This approach additionally requires a modification to traditional techniques employed for the estimation of hidden Markov Models (HMMs), whose resultant models we currently refer to as free-parts HMMs (FP-HMMs). Results will be presented on the CUAVE audiovisual speech database. © AVSP 2005. All rights reserved.

关键词： Hidden Markov models

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Using a free-parts representation for visual speech recognition

Using a free-parts representation for visual speech recognit...

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Digital Imaging Computing: Techniques and Applications, DICTA 2005

作者： Lucey, Patrick Lucey, Simon Sridharan, Sridha Speech Audio Image and Video Research Laboratory Queensland University of Technology GPO Box 2424 Brisbane 4001 Australia Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)0769524672

Motivated by the success of free-parts based representations in face recognition, we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent visual speech recognition. A major problem with canonical area-based approaches in automatic visual speech recognition is the dependence these approaches have on locating and tracking the speaker's region of interest (ROI) correctly. By employing a free-parts representation, we assume that the position/structure of patches within the mouth image can be relaxed so they can "freely" move to varying extents, hence reducing the influence of the front-end effect. In this paper, we show that by using a free-parts representation we gain some robustness against the problem of ROI localisation and tracking compared to current area-based feature extraction techniques such as the discrete cosine transform (DCT). Also in this paper, we expose the importance of representation for the task of visual speech recognition highlighted by the poor results current representations yield. © 2005 IEEE.

关键词： Speech recognition

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An over-complete independent component analysis (ICA) approach to magnetic resonance image analysis

An over-complete independent component analysis (ICA) approa...

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2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Wang, Jing Chang, Chein-I. Chen, Hsiang Ming Chen, Clayton Chi-Chang Chai, Jyh Wen Ouyang, Yen-Chieh Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan

ISBN: (纸本)0780387406

This paper presents a new application of independent component analysis (ICA) in magnetic resonance (MR) image analysis. One of most successful applications for ICA-based approaches in MR imaging is functional MRI (fMRI) which basically deals with one-dimensional temporal signals. The ICA approach proposed in this paper is rather different and considers a set of MR images acquired by different pulse sequences as a 3-dimensional image cube and performs image analysis rather than signal analysis. One major difference between the fMRI-based ICA approaches and our proposed ICA-based image analysis is that the ICA used in the former is under-complete as opposed to the latter which uses over-complete ICA. Such a fundamental difference results in completely different applications. © 2005 IEEE.

关键词： Magnetic resonance imaging

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