Object recognition algorithms usually identify: 1) pointbased features and 2) global structure/geometric shape of an object to solve the recognition problem. In this paper, we propose a framework that integrates these two approaches and brings forth the advantages of both to achieve higher recognition rates. In our framework, the object features are represented using biologically motivated C2 d...