Object Classification and Localization Using SURF Descriptors

This paper presents a method for identifying and matching objects within an image scene. Recognition of this type is becoming a promising field within computer vision with applications in robotics, photography, and security. This technique works by extracting salient features, and matching these to a database of pre-extracted features to perform a classification. Localization of the classified object is performed using a hierarchical pyramid structure. The proposed method performs with high accuracy on the Caltech-101 image database, and shows potential to perform as well as other leading methods.