Part segmentation of objects in real images

摘要

This paper addresses one major aspect of a project aimed at the design of an image database query engine, where the images are searched at the 3D object-level. This approach is a novelty since image databases are usually searched by comparing colours, textures and 2D shapes of regions in the images. The main topic and contribution of this paper is a new method for object part segmentation, from constant-curvature contour primitives, that is suited to process images of objects in real scenes. The proposed method groups constant-curvature primitives using intermediate-level geometric relationships and object outline information. A detailed description of the method is presented along with validating experiments.