Parsing Images of Architectural Scenes
Berg, A.C.
Grabler, F.
Malik, J.
Yahoo! Res., Santa Clara;
This paper appears in: Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Publication Date: 14-21 Oct. 2007
On page(s): 1-8
Location: Rio de Janeiro,
ISSN: 1550-5499
ISBN: 978-1-4244-1631-8
INSPEC Accession Number: 9849113
Digital Object Identifier: 10.1109/ICCV.2007.4409091
Current Version Published: 2007-12-26
Abstract
We address image parsing in the setting of architectural scenes. Our goal is to parse an image into regions of various types such as sky, foliage, buildings, and street. Furthermore we parse the building regions at a finer level of detail, identifying the positions of windows, doors, and rooflines, the colors of walls, and the spatial extent of particular buildings. Recognizing these individual elements is often impossible without the context provided by the initial parsing of the image, for instance a roofline is only defined in relation to the building below and the sky above. Our approach is driven by recognition of generic classes of visual appearance, e.g. for foliage. The generic recognition results boot-strap an image specific model that provides refined estimates to use for matting, segmentation, and more detailed parsing.
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