Flow-Based Local Optimization for Image-to-Geometry Projection

—The projection of a photographic dataset on a 3D model is a robust and widely applicable way to acquire appearance information of an object. The first step of this procedure is the alignment of the images on the 3D model. While any reconstruction pipeline aims at avoiding misregistration by improving camera calibrations and geometry, in practice a perfect alignment cannot always be reached. Depending on the way multiple camera images are fused on the object surface, remaining misregistrations show up either as ghosting or as discontinuities at transitions from one camera view to another. In this paper we propose a method, based on the computation of Optical Flow between overlapping images, to correct the local misalignment by determining the necessary displacement. The goal is to correct the symptoms of misregistration, instead of searching for a globally consistent mapping, which might not exist. The method scales up well with the size of the dataset (both photographic and geometr...

• Type: Journal
• Year: 2012
• Where: TVCG
• Authors: Matteo Dellepiane, Ricardo Marroquim, Marco Callieri, Paolo Cignoni, Roberto Scopigno
• Keywords: Global Optimization, Hardware, Model Topology, Perfect Alignment, TVCG 2012