This paper introduces a novel measure for object convexity using the recently introduced Multi-Scale Autoconvolution transform. The proposed measure is computationally efficient a...
We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will h...
Abstract. The problem of isometry-invariant representation and comparison of surfaces is of cardinal importance in pattern recognition applications dealing with deformable objects....
Alexander M. Bronstein, Michael M. Bronstein, Ron ...
Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor ...
The semantic annotation of documents is an additional advantage for retrieval, as long as the annotations and their maintenance process scale well. Automatic or semi-automatic ann...