Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations....
Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang, Matthew...
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
The paper describes initial results in an ongoing project aimed at providing and analyzing standardized, representative data sets for typical context recognition tasks. Such data ...
Ernst A. Heinz, Kai S. Kunze, Stefan Sulistyo, Hol...
In this paper, facial expression is coded by steerable filters which are rotated very efficiently by taking a suitable linear combination of basis filters. Local features extracte...
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...