title: Monocular 3D reconstruction of locally textured surfaces.
abstract: Most recent approaches to monocular nonrigid 3D shape recovery rely on exploiting point correspondences and work best when the whole surface is well textured. The alternative is to rely on either contours or shading information, which has only been demonstrated in very restrictive settings. Here, we propose a novel approach to monocular deformable shape recovery that can operate under complex lighting and handle partially textured surfaces. At the heart of our algorithm are a learned mapping from intensity patterns to the shape of local surface patches and a principled approach to piecing together the resulting local shape estimates. We validate our approach quantitatively and qualitatively using both synthetic and real data.
authors.affiliation: EPFL-IC-Computer Vision Laboratory, Station 14, CH-1015 Lausanne, Switzerland. aydin.varol@epfl.ch
authors.forename: Aydin
authors.initials: A
authors.lastname: Varol
authors.forename: Appu
authors.initials: A
authors.lastname: Shaji
authors.forename: Mathieu
authors.initials: M
authors.lastname: Salzmann
authors.forename: Pascal
authors.initials: P
authors.lastname: Fua