Dynamic textures can be considered to be spatio-temporally varying visual patterns in image sequences with certain temporal regularity. We propose a novel and efficient approach t...
We propose a fast texture-segmentation approach to the problem of 2-D and 3–D model-based contour tracking, which is suitable for real-time or interactive applications. Our appr...
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
—In this work we propose a dynamic scene model to provide information about the presence of salient motion in the scene, and that could be used for focusing the attention of a pa...
Seon Joo Kim, Gianfranco Doretto, Jens Rittscher, ...
We propose an efficient framework for dynamic cloud rendering. Base on the proposed simplified lighting model, the Shadow Relation Table (SRT) and Metaball Lighting Texture Databa...