Istituto di Scienza e Tecnologie dell'Informazione     
Pintore G., Garro V., Ganovelli F., Gobbetti E., Agus M. Omnidirectional Image Capture on Mobile Devices for Fast Automatic Generation of 2.5D Indoor Maps. In: WACV 2016 - IEEE Winter Conference on Applications of Computer Vision (Lake Placid, NY, USA, 7-10 March 2016). Proceedings, article n. 7477631. IEEE, 2016.
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.
URL: http://ieeexplore.ieee.org/document/7477631/
DOI: 10.1109/WACV.2016.7477631
Subject Mobile reconstruction
I.3.3 COMPUTER GRAPHICS. Picture/Image Generation. Digitizing and scanning

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