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Inferring Spatial Layout from a Single Image via Depth-Ordered Grouping
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Stella X. Yu and Hao Zhang and Jitendra Malik
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The 6th IEEE Computer Society Workshop on Perceptual Organization in Computer Vision, Anchorage, Alaska, 23 June 2008
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Paper
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Slides
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Code
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Abstract
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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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Keywords
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spatial layout, shape-from-X, spectral clustering
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