User-drawn sketch-based 3D object retrieval using distributed compressive sensing

User-drawn sketch-based 3D object retrieval system is popularly used for the basis of Computer Aided Design, scientific simulation and visualization, and serious game. The sketch-based 3D object retrieval is dependent on the descriptors and similarity measure to find and order the 3D objects what we want to see. In this paper we present a hybrid shape descriptor that integrates the local and global features to effectively retrieve the 3D objects from 2D sketch query image. Integrated shape descriptor with the high-dimensional sparse feature vector is then optimized using distributed compressive sensing to improve the performance of the view-based 3D object retrieval. The experimental results demonstrate the effectiveness and advantages of our proposed framework.