PUB - Publikationen an der Universität Bielefeld

One of the principal successes of computer vision over the past thirty years has been the development of robust techniques for the estimation of the structure of a 3D scene given multiple views of that scene. Holography is an established technique for recording and reconstructing real-world 3D objects. A single hologram encodes multiple perspectives of the scene simultaneously, and hence provides a novel avenue of extension of these traditional computer vision techniques. In this paper, we explore the pontential use of digital holograms in 3D scene reconstruction where particular regions of interest are occluded under particular views. In our experiments we employ both synthetic holograms of artificial scenes, and optically-captured digital holograms of real-world objects. We show that by selecting a particular set of perspectives, determined by the occlusions present in the scene, the original scene can be reconstructed.