Abstract-Most conventional range image segmentation algorithms could be classified as either surfacebased or edge-based depending on whether they extract the parameters of the surface or the surface discontinuities.Thus the processes of extracting the surface parameters and the surface discontinuities are treated as distinct from each other. In this paper we show that the synergetic combination of both surface-and edge-based segmentation processes can lead to more accurate segmentation results than just either of them alone. A segmentation algorithm is proposed which integrates edge and surface information in order to come up with a high-level description of a scene given a range image. Although the segmentation technique at this time is limited to polyhedral objects, it can be extended to include objects with parametric curved surfaces of quadratic order such as cones, cylinders and spheres that lead to parametric curves of discontinuity that are conic sections such as circles, ellipses and parabolas.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.