Wei-Wen Feng

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In this paper, we present a multigrid technique for efficiently deforming large surface and volume meshes. We show that a previous least-squares formulation for distortion minimization reduces to a Laplacian system on a general graph structure for which we derive an analytic expression. We then describe an efficient multigrid algorithm for solving the(More)
Achieving interactive performance in cloth animation has significant implications in computer games and other interactive graphics applications. Although much progress has been made, it is still much desired to have real-time high-quality results that well preserve dynamic folds and wrinkles. In this paper, we introduce a hybrid method for real-time cloth(More)
Achieving intuitive control of animated surface deformation while observing a specific style is an important but challenging task in computer graphics. Solutions to this task can find many applications in data-driven skin animation, computer puppetry, and computer games. In this paper, we present an intuitive and powerful animation interface to(More)
This dissertation investigates novel approaches for analysis and visualization of two kinds of graph, scale-free network and rooted hierarchy, at large scales with thousands to millions of nodes. Scale-free network, whose node degree distribution follows a power-law function, often arises in sociology, financial analysis, and the sciences. Such graphs are(More)
Computer games and real-time applications frequently adopt mesh skinning as a deformation technique for virtual characters and articulated objects. Rendering skinned models with global shading effects, such as interreflection and subsurface scattering, using precomputed radiance transfer enables high-quality real-time display of dynamically deformed(More)
BML realizers are complex software modules that implement a standardized interface –the BML specification language– to steer the behavior of a virtual human. We aim to promote and test the compliance of realizers that implement this interface. To this end we contribute a corpus of example BML scripts and a tool called RealizerTester that can be used to(More)
The objective of our project is to develop data mining and knowledge discovery in databases (KDD) techniques, using the “Data to Knowledge” (D2K) platform developed by National Center for Supercomputing Application (NCSA), to facilitate analysis, visualization and modeling of land-surface variables obtained from the TERRA and AQUA platforms in support of(More)
With the advances in remote sensing, various machine learning techniques could be applied to study variable relationships. Although prediction models obtained using machine learning techniques has proven to be suitable for predictions, they do not explicitly provide means for determining input-output variable relevance. We investigated the issue of(More)
This report addresses the problem of extracting topographic features from Shuttle Radar Topography Mission (SRTM) imagery. The features are used for Earth science applications and include slope, curvature, aspect, flow direction, flow accumulation and compound topographic index (CTI). The objective of our work is (1) to support topographic feature(More)