Title:
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Depth map repairing for building reconstruction
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Author:
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Andújar Gran, Carlos Antonio; Argudo Medrano, Óscar; Besora Vilardaga, Isaac; Brunet Crossa, Pere; Chica Calaf, Antonio; Comino Trinidad, Marc
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica |
Abstract:
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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]. |
Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Infografia -Three dimensional imaging -Infografia tridimensional |
Rights:
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Document type:
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Article - Submitted version Conference Object |
Published by:
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European Association for Computer Graphics (Eurographics)
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