Object Recognition Using Wavelet Based Salient Points

Abstract

In this paper an efficient method to learn and recognize objects from unlabeled natural scenes using patch based object representation is proposed. In the domain of object recognition, it is often the case that images have to be classified based on objects which make up only a very limited part of the image. Hence Patches (local features) are used to describe properties of certain region of an image. The proposed algorithm directly matches the parts distributed in a reference image that contains the object to those extracted in the test and hence it reports better matching. The experimental evaluation of the proposed method is done using the well-known Caltech database.