Geometric reasoning for single image structure recovery

We study the problem of generating plausible interpretations of a scene from a collection of line segments automatically extracted from a single indoor image. We show that we can recognize the three dimensional structure of the interior of a building, even in the presence of occluding objects. Sever...

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Bibliographic Details
Published in2009 IEEE Conference on Computer Vision and Pattern Recognition pp. 2136 - 2143
Main Authors Lee, David C, Hebert, Martial, Kanade, Takeo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Buildings
Data mining
Image converters
Image processing
Image recognition
Image segmentation
Labeling
Layout
Robotics and automation
Solid modeling
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ISBN1424439922
9781424439928
ISSN1063-6919
1063-6919
DOI10.1109/CVPR.2009.5206872

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Summary:We study the problem of generating plausible interpretations of a scene from a collection of line segments automatically extracted from a single indoor image. We show that we can recognize the three dimensional structure of the interior of a building, even in the presence of occluding objects. Several physically valid structure hypotheses are proposed by geometric reasoning and verified to find the best fitting model to line segments, which is then converted to a full 3D model. Our experiments demonstrate that our structure recovery from line segments is comparable with methods using full image appearance. Our approach shows how a set of rules describing geometric constraints between groups of segments can be used to prune scene interpretation hypotheses and to generate the most plausible interpretation.
ISBN:1424439922
9781424439928
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2009.5206872