H. Quynh Dinh

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Johnson and Hebert’s spin-images have been applied to the registration of range images and object recognition with much success because they are rotation, scale, and pose invariant. In this paper we address two issues concerning spin-images, namely: (1) comparing uncompressed spinimages across large datasets is costly, and (2) a method to select the(More)
We address the problem of tracking points in dense vector fields. Such vector fields may come from computational fluid dynamics simulations, environmental monitoring sensors, or dense point tracking of video data. To track points in vector fields, we capture the distribution of higher-order properties (e.g., properties derived from the gradient of the(More)
Sensors such as video surveillance and weather monitoring systems record a significant amount of dynamic data which are represented by vector fields. We present a novel algorithm to measure the similarity of vector fields using global distributions that capture both vector field properties (e.g., vector orientation) and relational geometric information(More)
We describe global and local methods for comparing flow fields, and a visualization tool that allows the user to adjust how flow fields are compared. Our first global method operates on path-lines and measures variations in orientation and curvature between samples on the same path-line. We then apply the global approach to first-order attributes computed(More)
• Developed and implemented algorithms for 3D shape modeling, morphing, volume rendering, 3D shape matching, vector field pattern analysis, and multimedia search. • Supervised research projects implemented by undergraduate, MS, and PhD students on a variety of topics in computer graphics and special effects (see Projects Supervised below). • Primary(More)
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