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Inferring spatial layout from a single image via depth-ordered grouping
Yu, S.X. Hao Zhang Malik, J.
Comput. Sci. Dept., Boston Coll., Boston, MA;

This paper appears in: Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Publication Date: 23-28 June 2008
On page(s): 1-7
Location: Anchorage, AK,
ISBN: 978-1-4244-2339-2
INSPEC Accession Number: 10104329
Digital Object Identifier: 10.1109/CVPRW.2008.4562977
Current Version Published: 2008-07-15

Abstract
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.

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