In this paper we exploit normalized mutual information
for the nonrigid registration of multimodal images.
Rather than assuming that image statistics are spatially
stationary, a...
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
Variation due to viewpoint is one of the key challenges that stand in the way of a complete solution to the face recognition problem. It is easy to note that local regions of the ...
We propose a novel approach to reduce spatially varying motion blur using a hybrid camera system that simultaneously captures high-resolution video at a low-frame rate together wi...
Yu-Wing Tai, Hao Du, Michael S. Brown, Stephen Lin