Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
We develop a set of new motion estimation (ME) algorithms based mainly on Unsymmetric-Cross Multi-Hexagon-Grid Search (UMH). The original algorithms are improved by applying the S...
This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged ...
Mobile displays such as PDAs and cellular phones can be placed under various illumination levels, different from the flat panel displays mainly used in the indoor environment. In ...
Jong-Man Kim, Chang-Hwan Son, Cheol-Hee Lee, Yeong...
The recent advances in Image Based Rendering (IBR) has pioneered a new technology, free-view television, in which TVviewers select freely the viewing position and angle by the app...
In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a nonLambertian scene. The depth map of each reference view is regi...
Many emerging applications require tracking targets in video. Most existing visual tracking methods do not work well when the target is motion-blurred (especially due to fast moti...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the image segmentation problem. DEE combines aspects of...