DocumentCode :
2287507
Title :
Reconstructing building interiors from images
Author :
Furukawa, Yasutaka ; Curless, Brian ; Seitz, Steven M. ; Szeliski, Richard
Author_Institution :
University of Washington, Seattle, USA
fYear :
2009
fDate :
Sept. 29 2009-Oct. 2 2009
Firstpage :
80
Lastpage :
87
Abstract :
This paper proposes a fully automated 3D reconstruction and visualization system for architectural scenes (interiors and exteriors). The reconstruction of indoor environments from photographs is particularly challenging due to texture-poor planar surfaces such as uniformly-painted walls. Our system first uses structure-from-motion, multi-view stereo, and a stereo algorithm specifically designed for Manhattan-world scenes (scenes consisting predominantly of piece-wise planar surfaces with dominant directions) to calibrate the cameras and to recover initial 3D geometry in the form of oriented points and depth maps. Next, the initial geometry is fused into a 3D model with a novel depth-map integration algorithm that, again, makes use of Manhattan-world assumptions and produces simplified 3D models. Finally, the system enables the exploration of reconstructed environments with an interactive, image-based 3D viewer. We demonstrate results on several challenging datasets, including a 3D reconstruction and image-based walk-through of an entire floor of a house, the first result of this kind from an automated computer vision system.
Keywords :
Buildings; Geometry; Image reconstruction; Indoor environments; Layout; Solid modeling; Stereo vision; Surface reconstruction; Surface texture; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
ISSN :
1550-5499
Print_ISBN :
978-1-4244-4420-5
Electronic_ISBN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2009.5459145
Filename :
5459145
Link To Document :
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