The Bounded Hough Transform is introduced to track objects in a sequence of sparse range images. The method is based upon a variation of the General Hough Transform that exploits ...
Michael A. Greenspan, Limin Shang, Piotr Jasiobedz...
In this work, the problem of the estimation of parameters in case of mixtures of models composed by the sum of multiple Gaussians is considered. It will be shown how this estimati...
Iterative Closest Point (ICP) -based tracking works well when the interframe motion is within the ICP minimum well space. For large interframe motions resulting from a limited sen...
Limin Shang, Piotr Jasiobedzki, Michael A. Greensp...
In several image applications, it is necessary to retrieve specific line segments born a potentially very large set. In this paper, we consider the problem of indexing straight li...
Self-adjusting programs respond automatically and efficiently to input changes by tracking the dynamic data dependences of the computation and incrementally updating the output as...