3D object retrieval system using skewness database

This paper presents a novel 3D object retrieval system from a single query image. A 3D object retrieval system is one of the most difficult systems to archive. It will be much easier if users can input 3D model of the object and use it as a query to the retrieval system. Unfortunately, creating a 3D model from an object is not an easy task. Usually a 2D rendered image of the object (photos, sketches, etc.) that needs to be retrieved is used and the system will find matching (or nearly matching) objects based on the query image. This will take a high computational cost since every image in the database must be compared with the query image. By using the proposed method, not only that every image in the database need not to be compared with the query image, but also the horizontal and vertical angles of a 3D object can be inferred immediately. Each 3D object image inside the database will be represented by a set of cubic spline function. We also use the skewness value as a feature when constructing the database. In order to retrieve the data, we use a simple thresholding method. The experimental results show that the proposed method has a good accuracy in retrieving the information within the databases.