Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Under the constraint of using only a single gallery image per person, this paper proposes a fast multi-class pattern classification approach to 2D face recognition robust to chan...
Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C....
In recent years, the use of Intelligent Closed-Circuit Television (ICCTV) for crime prevention and detection has attracted significant attention. Existing face recognition system...
Ting Shan, Shaokang Chen, Conrad Sanderson, Brian ...
We propose and evaluate a method for the recognition of airborne fungi spores. We suggest a case-based object-recognition method to identify spores in a digital microscopic image. ...