In this paper, we present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D sk...
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Abstract. Object recognition systems have their roots in the AI community, and originally addressed the problem of object categorization. These early systems, however, were limited...
Sven J. Dickinson, Ali Shokoufandeh, Yakov Keselma...
This paper describes an efficient approach to pose invariant object recognition employing pictorial recognition of image patches. A complete affine invariance is achieved by a rep...