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gammaunc uploaded a new video
(1 week ago)
We present a novel method for the synthesis and animation of realistic traffic flows on large-scale road networks. Our technique is based on a con...
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We present a novel method for the synthesis and animation of realistic traffic flows on large-scale road networks. Our technique is based on a continuum model of traffic flow; we extend it to correctly handle lane changes and merges, and traffic behaviors due to changes in speed limit. We demonstrate how our method can be applied to animation of many vehicles in a large-scale traffic network at interactive rates and show that our method can simulate believable traffic flows on a publicly-available, real-world road data. We furthermore demonstrate the scalablity of this technique on many-core systems [Jason Sewall, David Wilkie, Paul Merrell, and Ming C. Lin].
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gammaunc uploaded a new video
(1 week ago)
We present a new algorithm to generate plausible motions for high-DOF human-like articulated figures in constrained environments with multiple obst...
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We present a new algorithm to generate plausible motions for high-DOF human-like articulated figures in constrained environments with multiple obstacles. Our approach is general and makes no assumption about the articulated model or the environment. The algorithm combines hierarchical model decomposition with sample-based planning to efficiently compute a collision-free path in tight spaces. Furthermore, we use path perturbation and replanning techniques to satisfy the kinematic and dynamic constraints on the motion. In order to generate realistic human-like motion, we present a new motion blending algorithm that refines the path computed by the planner with motion capture data to compute a smooth and plausible trajectory. We demonstrate the results on generating motion corresponding to object placement, bending, walking, and lifting for a 38-degree-of-freedom articulated model [Jia Pan, Liangjun Zhang, Ming C. Lin, and Dinesh Manocha].
http://gamma.cs.unc.edu/DHM/
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gammaunc uploaded a new video
(2 weeks ago)
An interactive crowd simulation demo. We present our new system which animates thousands of people, using our novel global and local navigation te...
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An interactive crowd simulation demo. We present our new system which animates thousands of people, using our novel global and local navigation techniques. By exploiting the parallelism present in recent many-core architectures, we can simulate and render large crowds in real-time, and allow a user to interactively direct the crowd. To the best of our knowledge, this is the first such system, capable of interactively handling large scale crowds. [Stephen J. Guy, Sachin Patil, Sean Curtis, Ming C. Lin, and Dinesh Manocha].
http://gamma.cs.unc.edu/
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gammaunc has a Facebook page. Visit facebook.com/gammaunc.
(2 weeks ago)
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gammaunc uploaded a new video
(2 weeks ago)
We present the DAB painting system with an intuitive haptic interface, which serves as an expressive vehicle for interactively creating painterly w...
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We present the DAB painting system with an intuitive haptic interface, which serves as an expressive vehicle for interactively creating painterly works. We introduce a deformable, three-dimensional brush model, which gives the user natural control of complex brush strokes. The force feedback enhances the sense of realism and provides tactile cues that enable the user to better manipulate the paint brush. We have also developed a bidirectional, two-layer paint model that, combined with a palette interface, enables easy loading of complex blends onto our three-dimensional virtual brushes to generate interesting paint effects on the canvas. The resulting system provides the user with an artistic setting, which is conceptually equivalent to a real-world painting environment [William V. Baxter III, Vincent Scheib, Ming C. Lin, and Dinesh Manocha].
http://gamma.cs.unc.edu/DAB/
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