Shape-from-Silhouettes Algorithm with Built-in Occlusion Detection and Removal
Maarten Slembrouck, Dimitri Van Cauwelaert, Peter Veelaert, Wilfried R. Philips · 2015
Occlusion and inferior foreground/background segmentation still poses a big problem to 3D reconstruction from a set of images in a multi-camera system because it has a destructive nature on the reconstruction if one or more of the cameras do not see the object properly.We propose a method to obtain a 3D reconstruction which takes into account the possibility of occlusion by combining the information of all cameras in the multicamera setup.The proposed algorithm tries to find a consensus of geometrical predicates that most cameras can agree on.The results show a performance with an average error lower than 2cm on the centroid of a person in case of perfect input silhouettes.We also show that tracking results are significantly improved in a room with a lot of occlusion.