Optimized hybrid shape descriptor-based 3D ojbect retrieval

The 3D object retrieval systems receive great concerns in the fields of pattern recognition and computer graphics because of their diverse applications. Traditional approaches of view-based 3D object retrieval have focused on finding descriptors which can efficiently represent the specific geometric information of the 3D object. By combining the local and the global features in order to improve the performance of 3D object retrieval, we propose a sparse coding based feature optimization technique using the hybrid gradient features of the projected images from 3D object. Experimental results show the effectiveness of our proposed approach.