Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
Summary: We developed a Python package, ProDy, for structurebased analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heteroge...
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...