We will try to address the need for a formal foundation for visualization by taking an analytic approach to defining D. Since an arbitrary function D: U V will not produce display...
William L. Hibbard, Charles R. Dyer, Brian E. Paul
In this paper, we consider the problem of determining feature saliency for 3D objects and describe a series of experiments that examined if salient features exist and can be predi...
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
In computer vision, the bag-of-visual words image representation has been shown to yield good results. Recent work has shown that modeling the spatial relationship between visual ...
This paper proposes a visual tracking algorithm that combines motion and appearance in a statistical framework. It is assumed that image observations are generated simultaneously ...
Aswin C. Sankaranarayanan, Rama Chellappa, Qinfen ...