We propose a novel method of greedy similarity measure to segment long spatial-temporal video sequences. Firstly, a principal curve of motion region along frames of a video sequen...
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
In using web search engines, there are cases where the name of the target object is unavailable, and the user can only give the visual descriptions of the object. The existing keyw...
This paper presents a new pq-space based 2D/3D registration method for camera pose estimation in endoscope tracking. The proposed technique involves the extraction of surface norma...
Fani Deligianni, Adrian James Chung, Guang-Zhong Y...