Depth Map Repairing for Building Reconstruction

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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
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@inproceedings{
10.2312:ceig.20181162
, booktitle = {
Spanish Computer Graphics Conference (CEIG)
}, editor = {
García-Fernández, Ignacio and Ureña, Carlos
}, title = {{
Depth Map Repairing for Building Reconstruction
}}, author = {
Andújar, Carlos
and
Argudo, Oscar
and
Besora, Isaac
and
Brunet, Pere
and
Chica, Antoni
and
Comino Trinidad, Marc
}, year = {
2018
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-067-3
}, DOI = {
10.2312/ceig.20181162
} }
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