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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Inferring spatial layout from a single image via depth-ordered grouping
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Stella X. Yu, Computer Science Department, Boston College, Chestnut Hill, MA 02467, USA
Hao Zhang, Computer Science Division, University of California, Berkeley, 94720, USA
Jitendra Malik, Computer Science Division, University of California, Berkeley, 94720, USA
Inferring the 3D spatial layout from a single 2D image is a fundamental visual task. We formulate it as a grouping problem where edges are grouped into lines, quadrilaterals, and finally depth-ordered planes. We demonstrate that the 3D structure of planar objects in indoor scenes can be fast and accurately inferred without any learning or indexing.
Citation:
Stella X. Yu, Hao Zhang, Jitendra Malik, "Inferring spatial layout from a single image via depth-ordered grouping," cvprw, pp.1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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