A Spatial-Based Approach for Groups of Objects.

We introduce a spatial-based feature approach to locating and recognizing objects in cases where several identical or similar objects are accumulated together. With respect to cognition, humans specify such cases with a group-based reference system, which can be considered as an extension of conventional notions of reference systems. On the other hand, a spatial-based feature is straightforward and distinctive, making it more suitable for object recognition tasks. We evaluate this approach by testing it on eight diverse object categories, and thereby provided comprehensive results. The performance exceeds the state of art by high accuracy, less attempts and fast running time.