Visual Computing

We present comprehensive comparisons with commercial software packages and relevant methods in literature, which show that the quality of our results is superior to any other currently available green-screen keying solution.

In this paper, we present a modified algorithm which builds upon the previous work by redesigning key components to achieve real-time performance.

We present a novel phase-based method for propagating modifications of one video frame to an entire sequence.

By using non-parametric Bayesian methods, we learn coupled spatial and temporal patterns with minimum prior knowledge.

In this paper, we consider the problem of creating rich and varied conversational behaviors for data-driven animation of walking and jogging characters.

We present a new benchmark dataset and evaluation methodology for the area of video object segmentation

We propose a novel approach to video segmentation that operates in bilateral space.

We present CANVAS, a computer-assisted visual authoring tool for synthesizing multi-character animations from sparsely-specified narrative events.

We consider three foveated rendering methods and propose practical rules of thumb for each method to achieve significant performance gains in real-time rendering frameworks.

We propose a solution for presenting movie quality graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion.