TY - JOUR
AU1 - Hayashi, Kenichi
AU2 - Kato, Hirokazu
AU3 - Nishida, Shogo
AB -  Occlusion Detection of Real Objects using Contour Based Stereo Matching Kenichi Hayashi, Hirokazu Kato, Shogo Nishida Graduate School of Engineering Science, Osaka University,1-3 Machikaneyama-cho, Toyonaka, Osaka, Japan {hayashi,kato,nishida}@nishilab.sys.es.osaka-u.ac.jp Abstract In Augmented Reality, the occlusion between virtual and real objects has to be managed correctly, so that users can look at the natural scene. In order to overcome this problem, the depth of the real world from the user ™s viewpoint is employed. However, if the system is used in an environment including moving or deformable objects, the depth has to be measured in real-time. In this paper, we propose a method for real-time stereo matching using a contour based approach to acquire the accurate depth of the boundary of real objects. Keywords: augmented reality, occlusion, contour based stereo matching, video see-through Figure 1: Occlusion problem in Augmented Reality 1. Introduction Augmented Reality (AR) interfaces typically involve the real time overlay of virtual images on the real world. Consistency between the virtual objects and the real world has to be managed correctly so that users feel that the combined scene is natural. Geometrical consistency is especially important. There are two geometrical consistencies to be managed in Augmented Reality. The 
TI - Occlusion detection of real objects using contour based stereo matching
DO - 10.1145/1152399.1152432
DA - 2005-12-05
UR - https://www.deepdyve.com/lp/association-for-computing-machinery/occlusion-detection-of-real-objects-using-contour-based-stereo-04XG5CJd0K
DP - DeepDyve