Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/88025
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Type: Conference paper
Title: A dynamic programming approach to reconstructing building interiors
Author: Flint, A.
Mei, C.
Murray, D.
Reid, I.
Citation: Computer Vision – ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V, 2010 / vol.6315 LNCS, iss.PART 5, pp.394-407
Publisher: Springer
Publisher Place: Berlin, Heidelberg
Issue Date: 2010
Series/Report no.: Lecture Notes in Computer Science; 6315
ISBN: 3642155545
9783642155543
ISSN: 0302-9743
1611-3349
Conference Name: European Conference on Computer Vision (ECCV) (05 Sep 2010 - 11 Sep 2010 : Heraklion, Crete, Greece)
Statement of
Responsibility: 
Alex Flint, Christopher Mei, David Murray, and Ian Reid
Abstract: A number of recent papers have investigated reconstruction under Manhattan world assumption, in which surfaces in the world are assumed to be aligned with one of three dominant directions [1,2,3,4]. In this paper we present a dynamic programming solution to the reconstruction problem for “indoor” Manhattan worlds (a sub–class of Manhattan worlds). Our algorithm deterministically finds the global optimum and exhibits computational complexity linear in both model complexity and image size. This is an important improvement over previous methods that were either approximate [3] or exponential in model complexity [4]. We present results for a new dataset containing several hundred manually annotated images, which are released in conjunction with this paper.
Rights: © Springer-Verlag Berlin Heidelberg 2010
RMID: 0020131196
DOI: 10.1007/978-3-642-15555-0_29
Appears in Collections:Computer Science publications

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