Depth map repairing for building reconstruction
Document typeConference report
PublisherEuropean Association for Computer Graphics (Eurographics)
Rights accessOpen Access
Structure-from-motion along with multi-view stereo techniques jointly allow for the inexpensive scanning of 3D objects (e.g. buildings) using just a collection of images taken from commodity cameras. Despite major advances in these fields, a major limitation of dense reconstruction algorithms is that correct depth/normal values are not recovered on specular surfaces (e.g. windows) and parts lacking image features (e.g. flat, textureless parts of the facade). Since these reflective properties are inherent to the surface being acquired, images from different viewpoints hardly contribute to solve this problem. In this paper we present a simple method for detecting, classifying and filling non-valid data regions in depth maps produced by dense stereo algorithms. Triangles meshes reconstructed from our repaired depth maps exhibit much higher quality than those produced by state-of-the-art reconstruction algorithms like Screened Poisson-based techniques.
This is the accepted version of the article which has been published in final form at https://diglib.eg.org/handle/10.2312/ceig20181162. This article may be used for non-commercial purposes in accordance with the Wiley Self-Archiving Policy [http://olabout.wiley.com/WileyCDA/Section/id-820227.html].
CitationAndújar, C. [et al.]. Depth map repairing for building reconstruction. A: Spanish Computer Graphics Conference. "CEIG 18, XXVIII Spanish Computer Graphics Conference: Madrid, Spain, June 27-29, 2018". European Association for Computer Graphics (Eurographics), 2018, p. 95-102.