Document - Omnidirectional image capture on mobile devices for fast automatic generation of 2.5D indoor maps

2016

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Omnidirectional image capture on mobile devices for fast automatic generation of 2.5D indoor maps

Pintore G., Garro V., Ganovelli F., Gobbetti E., Agus M.

Visualization Digitization I.3.3 COMPUTER GRAPHICS. Picture/Image Generation. Digitizing and scanning Mobile reconstruction

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 omni-directional 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.

Source: IEEE Winter Conference on Applications of Computer Vision, Lake Placid, NY, USA, 7-10 March 2016

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@inproceedings{oai:it.cnr:prodotti:359133,
	title = {Omnidirectional image capture on mobile devices for fast automatic generation of 2.5D indoor maps},
	author = {Pintore G. and Garro V. and Ganovelli F. and Gobbetti E. and Agus M.},
	doi = {10.1109/wacv.2016.7477631},
	booktitle = {IEEE Winter Conference on Applications of Computer Vision, Lake Placid, NY, USA, 7-10 March 2016},
	year = {2016}
}