Geometric Image Parsing in Man-Made Environments |
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Authors: | Elena Tretyak Olga Barinova Pushmeet Kohli Victor Lempitsky |
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Affiliation: | 1.Lomonosov Moscow State University,Moscow,Russia;2.Microsoft Research Cambridge,Cambridge,UK;3.University of Oxford,Oxford,UK |
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Abstract: | We present a new optimization based parsing framework for the geometric analysis of a single image coming from a man-made
environment. This framework models the scene as a composition of geometric primitives spanning different layers from low level
(edges) through mid-level (lines segments, lines and vanishing points) to high level (the zenith and the horizon). The inference
in such a model thus jointly and simultaneously estimates (a) the grouping of edges into the line segments, (b) the grouping
of line segments into the straight lines, (c) the grouping of lines into parallel families, and (d) the positioning of the
horizon and the zenith in the image. Such a unified treatment means that the uncertainty information propagates between the
layers of the model. This is in contrast to most previous approaches to the same problem, which either ignore the middle levels
(line segments or lines) all together, or use the bottom-up step-by-step pipeline. |
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