A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Image understanding requires not only individually estimating elements of the visual world but also capturing the interplay among them. In this paper, we provide a framework for p...
Representations for interactive photorealistic visualization of scenes range from compact 2D panoramas to dataintensive 4D light fields. In this paper, we propose a technique for ...
Ke Colin Zheng, Sing Bing Kang, Michael F. Cohen, ...
There is a need to restore color images that suffer from distance-dependent degradation during acquisition. This occurs, for example, when imaging through scattering media. There,...