We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Automatic facial feature detection is typically solved by usingmanually segmented imagestotrain a feature detector. In thispaper, we investigate whether it is possible toimprove t...
Hasan Demirel, Thomas J. Clarke, Peter Y. K. Cheun...
This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method ...
In this paper, we describe our approach and results for high-level feature extraction task (HLF) at TRECVID2008. This year, our focus is to develop a framework which fuses a numbe...