2차원 모양 정보를 이용한 3차원 물체 검색 시스템

초록

In this paper, we propose a new 3D object retrieval system using the shape information of 2D silhouette images. 2D images at different view points are derived from a 3D model and linked to the model. Shape feature of 2D image is extracted by a region-based descriptor such as angular radial transform(ART) and Zernike moment(ZM). In the experiment, we compare the results of the proposed system with those of the system using curvature scale space(CSS), contour-based descriptor to show the efficiency of our system.