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Comput. Graph. Forum. 01/2011; 30:2440-2451.
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ABSTRACT: We present a method designed to address some limitations of typical route map displays of driving directions. The main goal of our system is to generate a printable version of a route map that shows the overview and detail views of the route within a single, consistent visual frame. Our proposed visualization provides a more intuitive spatial context than a simple list of turns. We present a novel multifocus technique to achieve this goal, where the foci are defined by points of interest (POI) along the route. A detail lens that encapsulates the POI at a finer geospatial scale is created for each focus. The lenses are laid out on the map to avoid occlusion with the route and each other, and to optimally utilize the free space around the route. We define a set of layout metrics to evaluate the quality of a lens layout for a given route map visualization. We compare standard lens layout methods to our proposed method and demonstrate the effectiveness of our method in generating aesthetically pleasing layouts. Finally, we perform a user study to evaluate the effectiveness of our layout choices.
IEEE Transactions on Visualization and Computer Graphics 05/2010; 16(2):235-47. · 2.21 Impact Factor
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The Visual Computer. 01/2010; 26:1349-1360.
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IEEE T. Geoscience and Remote Sensing. 01/2009; 47:1673-1684.
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Comput. Graph. Forum. 01/2009; 28:2176-2188.
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Comput. Graph. Forum. 01/2009; 28:154-160.
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Comput. Graph. Forum. 01/2009; 28:1217-1226.
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Pattern Recognition Letters. 01/2009; 30:1-10.
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ABSTRACT: We present the Enhanced Anthropometric Rating System (EARS), an automated system for evaluating the quality of 3D human body scans. EARS is able to detect and classify both the geometric and anthropometric features of a given mesh and rates its quality. These features and corresponding operations include the roughness of the scanned surface, the fairness of vertex location, area and position of missing body parts, anthropometrically guided segmentation, detection of landmarks, and wrinkles in clothing. The system ranks these features and operations based on their importance as determined by Anthropologists who have specific requirements with respect to understanding the anthropometry of the soldier of the 21 st century. The data scans contain more than 100,000 vertices and over 300,000 facets. The system is able to provide real-time feedback on whether the mesh is suitable for downstream applications. The system will be used by the U.S. Army to do statistical studies on their large human body dataset.
Computer-Aided Design and Applications 01/2009; 6:431-445.
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IEEE T. Geoscience and Remote Sensing. 01/2007; 45:4144-4157.
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The Visual Computer. 01/2007; 23:607-618.
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Proceedings of the International Conference on Image Processing, ICIP 2007, September 16-19, 2007, San Antonio, Texas, USA; 01/2007
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Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2007, 5-7 September, 2007, Queen Mary, University of London, London, United Kingdom; 01/2007
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ABSTRACT: This paper presents a shape-based approach in extracting thin structures, such as lines and sheets, from three-dimensional (3D) biomedical images. Of particular interest is the capability to recover cellular structures, such as microtubule spindle fibers and plasma membranes, from laser scanning confocal microscopic (LSCM) data. Hessian-based shape methods are reviewed. A synthesized linear structure is used to evaluate the sensitivity of the multiscale filtering approach in extracting closely positioned fibers. We find that the multiscale approach tends to fuse lines together, which makes it unsuitable for visualizing mouse egg spindle fibers. Single-scale Gaussian filters, balanced between sensitivity and noise resistance, are adopted instead. In addition, through an ellipsoidal Gaussian model, the eigenvalues of the Hessian matrix are quantitatively associated with the standard deviations of the Gaussian model. Existing shape filters are simplified and applied to LSCM data. A significant improvement in extracting closely positioned thin lines is demonstrated by the resultant images. Further, the direct association of shape models and eigenvalues makes the processed images more understandable qualitatively and quantitatively.
IEEE Transactions on Visualization and Computer Graphics 02/2006; 12(1):93-102. · 2.21 Impact Factor
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2004 Geometric Modeling and Processing (GMP 2004), Theory and Applications, 13-15 April 2004, Beijing, China; 01/2004
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IEEE Trans. Vis. Comput. Graph. 01/2003; 9:320-328.
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VisSym 2003, Symposium on Visualization, Grenoble, France, May 26-28, 2003; 01/2003
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Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2; 01/2003
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Proceedings of the Sixth IASTED International Conference on Computer Graphics and Imaging, Honolulu, Hawaii, USA, August 13-15, 2003; 01/2003
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ABSTRACT: Of late we have seen an increase in the use of subdivision techniques for both modeling and animation. They have given rise to a class of surfaces called subdivision surfaces. These have many advantages over traditional Non Uniform Rational B-spline (NURB) surfaces. Subdivision surfaces easily address the issues related to multiresolution, refinement, scalability and representation of meshes. Many schemes have been introduced that take a coarse mesh and refine it using subdivision. They can be mainly classified as Approximating - in which the original coarse mesh is not preserved, or Interpolating - wherein the subdivision forces the refined mesh to pass through the original points of the coarse mesh. The schemes used for triangular meshes are mainly the Loop scheme, which is approximating in nature and the Modified Butterfly scheme which is interpolating. Subdivision schemes are cost intensive at higher levels of subdivision. In this paper we introduce two methods of adaptive subdivision for triangular meshes that make use of the Loop scheme or the Modified Butterfly scheme to get approximating or interpolating results respectively. The results are obtained at a lower cost when compared with those obtained by regular subdivision schemes. The first method uses the dihedral angle to develop an adaptive method of subdivision. The other method relies on user input, i.e., the user specifies which parts of the mesh should be subdivided. This process can be automated by segmentation techniques, for example watershed segmentation, to get the areas in the mesh that need to be subdivided. We compare our methods for various triangular meshes and present our results.
09/2002;
