Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
An intermediate representation suitable for the 2-D recognition of the 3-D objects, from a single intensity image is proposed. Determination of the intermediate representation fro...
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...