Omnidirectional Image Capture on Mobile Devices for Fast Automatic Generation of 2.5D Indoor Maps
In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV) - 2016
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| We introduce a light-weight automatic method to quickly capture and recover 2.5D multi-room indoor environments scaled to real-world metric dimensions. To minimize the user effort required, we capture and analyze a single omnidirectional image per room using widely available mobile devices. Through a simple tracking of the user movements between rooms, we iterate the process to map and reconstruct entire floor plans. In order to infer 3D clues with a minimal processing and without relying on the presence of texture or detail, we define a specialized spatial transform based on catadioptric theory to highlight the room's structure in a virtual projection. From this information, we define a parametric model of each room to formalize our problem as a global optimization solved by Levenberg-Marquardt iterations. The effectiveness of the method is demonstrated on several challenging real-world multi-room indoor scenes. |
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BibTex references
@InProceedings\{PGGAG16,
author = "Pintore, Giovanni and Garro, Valeria and Ganovelli, Fabio and Agus, Marco and Gobbetti, Enrico",
title = "Omnidirectional Image Capture on Mobile Devices for Fast Automatic Generation of 2.5D Indoor Maps",
booktitle = "In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV)",
year = "2016",
url = "http://vcg-legacy.isti.cnr.it/Publications/2016/PGGAG16"
}