filename : Kus14a.pdf entry : toappear conference : Eurographics 2014, Strasbourg, France, 7-11 April, 2014 pages : year : 2014 month : 4 title : Spatio-Temporal Geometry Fusion for Multiple Hybrid Cameras using Moving Least Squares Surfaces subtitle : author : Kuster, Claudia and Bazin, Jean-Charles and Oztireli, Cengiz and Deng, Teng and Martin, Tobias and Popa, Tiberiu and Gross, Markus booktitle : ISSN/ISBN : editor : publisher : publ.place : volume : issue : language : keywords : abstract : Multiview reconstruction aims at computing the geometry of a scene observed by a set of cameras. Accurate 3D reconstruction of dynamic scenes is a key component in a large variety of applications, ranging from special effects to telepresence and medical imaging. In this paper we propose a method based on Moving Least Squares surfaces which robustly and efficiently reconstructs dynamic scenes captured by a set of hybrid color+depth cameras. Our reconstruction provides spatio-temporal consistency and seamlessly fuses color and geometric information. We illustrate our formulation on a variety of real sequences and demonstrate that it favorably compares to state-of-the-art methods.