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Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization

Feature Emphasis and Contextual Cutaways for Multimodal Medi...

引用

9th Joint Eurographics/IEEE VGTC Symposium on Visualization, EuroVis 2007

作者： Burns, Michael Haidacher, Martin Wein, Wolfgang Viola, Ivan Gröller, M. Eduard Imaging and Visualization Department Siemens Corporate Research PrincetonNJ United States Computer Science Department Princeton University United States Institute of Computer Graphics and Algorithms Vienna University of Technology Austria Department of Informatics University of Bergen Norway

ISBN: (纸本)9783905673456

Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging for a number of medical intervention applications. However, it is difficult to provide a fused visualization that allows sufficient spatial perception of the anatomy of interest, as derived from the rich pre-operative scan, while not occluding the real-time image displayed embedded within the volume. We propose an importance-driven approach that presents the embedded data such that it is clearly visible along with its spatial relation to the surrounding volumetric material. To support this, we present and integrate novel techniques for importance specification, feature emphasis, and contextual cutaway generation. We show results in a clinical context where a pre-operative CT scan is visualized alongside a tracked ultrasound image, such that the important vasculature is depicted between the viewpoint and the ultrasound image, while a more opaque representation of the anatomy is exposed in the surrounding area. © The Eurographics Association 2007.

关键词： Visualization

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Salient Moving Object Detection Using Stochastic Approach Filtering

Salient Moving Object Detection Using Stochastic Approach Fi...

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International Conference on Image and graphics (ICIG)

作者： Peng Tang Lin Gao Zhifang Liu Image and Graphics Institute Computer Science Department Sichuan University Chengdu China

Background modeling techniques are important for object detection and tracking in video surveillance. Traditional background subtraction approaches are suffered from problems, such as persistent dynamic backgrounds, quick illumination changes, occlusions, noise etc. In this paper, we address the problem of detection and localization of moving objects in a video stream without apperception of background statistics. Three major contributions are presented. First, introducing the Monte Carlo importance sampling techniques greatly reduce the computation complexity while compromise the expected accuracy. Second, the robust salient motion is considered when resampling the feature points by removing those who do not move in a relative constant velocity. Finally, the proposed spatial kinetic mixture of Gaussian model (SKMGM) enforced spatial consistency. Promising results demonstrate the potentials of the proposed framework.

关键词： Object detection Stochastic processes Monte Carlo methods Stochastic resonance Filtering Video surveillance Lighting Background noise Streaming media Statistics

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A topology-independent similarity measure for high-dimensional feature spaces

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17th International Conference on Artificial Neural Networks, ICANN 2007

作者： Kerdels, Jochen Peters, Gabriele DFKI German Research Center for Artificial Intelligence Robotics Lab. Robert Hooke Str. 5 D-28359 Bremen Germany University of Dortmund Department of Computer Science Computer Graphics Otto-Hahn-Str. 16 D-44221 Dortmund Germany

ISBN: (纸本)9783540746935

In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate similarity measure for the particular feature space, as there is usually only little knowledge about the structure of that space. As a possible solution to this problem this paper presents a method to obtain a similarity measure suitable for the task of feature matching without the need for structural information of the particular feature space. As the described similarity measure is based on the topology of the feature space and the topology is generated by a growing neural gas, no knowledge about the particular structure of the feature space is needed. In addition, the used neural gas quantizes the feature vectors and thus reduces the amount of data which has to be stored and retrieved for the purpose of object recognition. © Springer-Verlag Berlin Heidelberg 2007.

关键词： computer vision

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Incorporating User Provided Constraints into Document Clustering

Incorporating User Provided Constraints into Document Cluste...

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IEEE International Conference on Data Mining (ICDM)

作者： Yanhua Chen Manjeet Rege Ming Dong Jing Hua Department of Computer Science Machine Vision and Pattern Recognition Laboratory Detroit MI USA Department of Computer Science Graphics and Imaging Laboratory Detroit MI USA

Document clustering without any prior knowledge or background information is a challenging problem. In this paper, we propose SS-NMF: a semi-supervised non- negative matrix factorization framework for document clustering. In SS-NMF, users are able to provide supervision for document clustering in terms of pairwise constraints on a few documents specifying whether they "must" or "cannot" be clustered together. Through an iterative algorithm, we perform symmetric tri-factorization of the document- document similarity matrix to infer the document clusters. Theoretically, we show that SS-NMF provides a general framework for semi-supervised clustering and that existing approaches can be considered as special cases of SS-NMF. Through extensive experiments conducted on publicly available data sets, we demonstrate the superior performance of SS-NMF for clustering documents.

关键词： Iterative algorithms Clustering algorithms Symmetric matrices Data mining Databases Clustering methods Couplings Machine vision Pattern recognition computer graphics

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Implicit Surface Modeling Suitable for Inside/Outside Tests with Radial Basis Functions

Implicit Surface Modeling Suitable for Inside/Outside Tests ...

引用

2007 10th IEEE International Conferences on computer Aided Design and computer graphics(CAD/graphics 2007)

作者： Vaclav Skala Centre of Computer Graphics and Data Visualization Department of Computer Science and EngineeringUniversity of West BohemiaPlzenCzech Republic30614

We describe a method for computing an implicit function that represents a surface by its zero level set,given a set of points scattered over the surface and associated with surface normal *** implicit function is defined as a linear combination of compactly supported radial basis *** method is suitable for testing whether a given point is interior or exterior to the surface,previously only associated with globally supported or globally regularized radial basis *** use a two-level interpolation *** the coarse scale interpolation,we set basis function centers by a grid that covers the enlarged bounding box of the given point set and compute their signed distances to the underlying surface using local quadratic approximations of the nearest surface *** a fitting to the residual errors on the surface points and additional off-surface points is performed with fine scale basis *** final function is the sum of the two intermediate functions and is a good approximation of the signed distance field to the surface in the bounding *** of surface reconstruction and set operations between shapes are provided.

关键词： Implicit Surface Modeling Suitable for Inside/Outside Tests with Radial Basis Functions

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Offset approximation algorithm for subdivision surfaces

Offset approximation algorithm for subdivision surfaces

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SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

作者： Junqing, Yang Min, Zhou Xiaohong, An Lining, Zhang Department of Computer Engineering Xi'an Aerotechnical College Xi'an 710077 China College of Science Northwestern Polytechnical University Xi'an 710072 China Department of Software Engineering and Graphics Processing Department of Theory of Spline and Geometric Design Department of Theory of Subdivision and Geometric Design

ISBN: (纸本)0769529097

Based on Catmull-Clark Subdivision scheme, a valid algorithm of offset approximation for Subdivision Surface is proposed. It can overcome the defect that previous approaches treat offset surface only as parametric surface, functional surface and algebraic surface. In this paper, by making the limit positions corresponding to new control vertices of offset surface are at their exact offset positions, we convert offset approximation problem into solving linear equation system. We also present a method for error control of offset approximation, meanwhile, how to compute maximum offset distance without self-intersection is discussed. The examples in the paper demonstrate explicitness and efficiency of our method. © 2007 IEEE.

关键词： Surface analysis

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Implicit Surface Modeling Suitable for Inside/Outside Tests with Radial Basis Functions

Implicit Surface Modeling Suitable for Inside/Outside Tests ...

引用

IEEE International Conference on computer-Aided Design and computer graphics

作者： Rongjiang Pan Vaclav Skala School of Computer Science and Technology Shandong University Jinan China Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plzen Czech Republic

We describe a method for computing an implicit function that represents a surface by its zero level set, given a set of points scattered over the surface and associated with surface normal vectors. This implicit function is defined as a linear combination of compactly supported radial basis functions. Our method is suitable for testing whether a given point is interior or exterior to the surface, previously only associated with globally supported or globally regularized radial basis functions. We use a two-level interpolation approach. In the coarse scale interpolation, we set basis function centers by a grid that covers the enlarged bounding box of the given point set and compute their signed distances to the underlying surface using local quadratic approximations of the nearest surface points. Then a fitting to the residual errors on the surface points and additional off-surface points is performed with fine scale basis functions. The final function is the sum of the two intermediate functions and is a good approximation of the signed distance field to the surface in the bounding box. Examples of surface reconstruction and set operations between shapes are provided.

关键词： Testing Surface fitting Surface reconstruction computer science Interpolation computer graphics Data visualization Data engineering Level set Scattering

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An Interactive Environment to Manipulate Large Graphs

An Interactive Environment to Manipulate Large Graphs

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： John R. Gilbert Viral Shah Steven Reinhardt Department of Computer Science University of California Santa Barbara USA Silicon Graphics Inc.

Interactive environments such as Matlab and Star-P have made numerical computing tremendously accessible to engineers and scientists. They allow people who are not well-versed in the art of numerical computing to nonetheless reap the benefits of numerical computing. The same is not true in general for combinatorial computing. Often, many interesting problems require a mix of numerical and combinatorial computing. Tools developed for numerical computing - such as sparse matrix algorithms - can also be used to develop a comprehensive infrastructure for graph algorithms. We describe the current status of our effort to build a comprehensive infrastructure for operations on large graphs in an interactive parallel environment such as Star-P.

关键词： Sparse matrices Signal processing algorithms High performance computing Concurrent computing Data structures Silicon graphics Acoustic sensors Clustering algorithms Partitioning algorithms

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Geometric design of developable Bezier and B-spline parametric surfaces

Geometric design of developable Bezier and B-spline parametr...

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SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

作者： Junqing, Yang Min, Zhou Quanyi, Lv Hongchan, Zheng Department of Computer Engineering Xi'an Aerotechnical College Xi'an 710077 China College of Science Northwestern Polytechnical University Xi'an 710072 China Department of Software Engineering and Graphics Processing Department of Theory of Spline and Geometric Design Department of Mathematics and Computation Department of Theory of Subdivision and Geometric Design

ISBN: (纸本)0769529097

Using the concept of duality between points and planes in 3D projective space, an explicit and efficient method of computer-aided design for developable surfaces based on Bezier and B-spline basis functions is proposed. By the result that a developable surface is the envelope of a single-parameter family of planes, we give the parametric equation of a Bezier and B-spline developable surface, and discuss respectively properties of Bezier and B-spline representations. Meanwhile, we also present a simplified geometric-construction for developable surfaces, that is, G2 Beta restraint condition algorithm for G2 continuity between two developable surfaces. It is shown that the geometric construction technique that exists for curves also can be generalized to the design of developable surfaces. © 2007 IEEE.

关键词： Computational geometry

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Advances in Discrete Tomography and Its Applications 1

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丛书名： Applied and Numerical Harmonic Analysis

2007年

作者： Gabor T. Herman Attila Kuba

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