Paper ID | 3D-4.5 | ||
Paper Title | 3D RECONSTRUCTION BY PARAMETERIZED SURFACE MAPPING | ||
Authors | Pierre-Alain Langlois, Ecole des Ponts ParisTech, France; Matthew Fisher, Oliver Wang, Vladimir Kim, Adobe Research, United States; Alexandre Boulch, valeo.ai, France; Renaud Marlet, Ecole des Ponts ParisTech, France; Bryan Russell, Adobe Research, United States | ||
Session | 3D-4: 3D Image and Video Processing | ||
Location | Area J | ||
Session Time: | Tuesday, 21 September, 13:30 - 15:00 | ||
Presentation Time: | Tuesday, 21 September, 13:30 - 15:00 | ||
Presentation | Poster | ||
Topic | Three-Dimensional Image and Video Processing: Stereoscopic and multiview processing and display | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
Abstract | We introduce an approach for computing a 3D mesh from one or more views of an object by establishing dense correspondences between pixels in the views and 3D locations on a learnable parameterized surface. We propose a multi-view shape encoder that can be jointly trained with the AtlasNet surface parameterization. The shape is further refined using a novel geometric cycle-consistency loss between the learnable parameterized surface and input views. We demonstrate the efficacy of our approach on the ShapeNet-COCO dataset. |