3D object retrieval using silhouette feature vector on shady images

As the amount of new information generated in the world rapidly increases, efficient search in collections of structured data, texts and multimedia objects. 3D objects are an important type of multimedia data with many applications such as medical, chemical, CAD, etc. In this paper a great method for 3D object retrieval using silhouette feature vector on shady image. The method is based on our previously presented proof-of-concept shadow multiplexing method. This work then shows how to use and extend well-developed techniques in computer vision to address fundamental problems in shape representation and rendering. High quality meshes that are usually found in animation, automobile and CG movies etc. are difficult to build. To reduce the overall production cost, reusing or adapting from existing models 3D object retrieval is done. Currently our algorithm finds good feature results for objects having straight edges, but for objects having curve surface do not extract good features. Experimental results show the effectiveness of our Method.