| 2009 2008 2007 2006 2005 2004 Before 2004 |
 Zhicheng Yan, Wei Chen, Aidong Lu, David S. Ebert Provisionally accepted by Journal of Computer Graphics Forum (Special Issue of EuroVis 2009) 2009 nothing pdf video bibtex |
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Yuyan Song, Wei Chen, Ross Maciejewski, Kelly Gaither, David S. Ebert Provisionally accepted by Journal of Computer Graphics Forum (Special Issue of EuroVis 2009) 2009 nothing pdf video bibtex |
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Long Zhang, Ying He, Xuexiang Xie, Wei Chen Proceedings of ACM Symposium on Interactive 3D Graphics and Games 2009 2009 This paper presents a novel object-space line drawing algorithmthat can depict shape with view dependent feature lines in real-time. Strongly inspired by the Laplacian-of-Gaussian (LoG) edge detector in image processing, we define Laplacian Lines as the zerocrossing points of the Laplacian of the surface illumination. Compared to other view dependent features, Laplacian lines are computationally efficient because most expensive computations can be pre-processed. Thus, Laplacian lines are very promising for interactively illustrating large-scale models. pdf video bibtex |
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Wei Chen, Song Zhang, Steve Correia, David F. Tate To appear Proceedings of IEEE Pacific Visualization Symposium 2009 2009 Diffusion tensor fields reveal the underlying anatomical structures in biological tissues such as neural fibers in the brain. Most current methods for visualizing the diffusion tensor field can be categorized into two classes: integral curves and glyphs. Integral curves are continuous and rep-resent the underlying fiber structures, but are prone to inte-gration error and loss of local information. Glyphs are useful for representing local tensor information, but do not convey the connectivity in the anatomical structures well. We in-troduce a simple yet effective visualization technique that extends the streamball method in flow visualization to ten-sor ellipsoids. Each tensor ellipsoid represents a local tensor, and either blends with neighboring tensors or breaks away from them depending on their orientations and anisotropies. The resulting visualization shows the connectivity informa-tion in the underlying anatomy while characterizing the local tenors in detail.... pdf video bibtex |