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|Title:||A dynamic programming approach to reconstructing building interiors|
|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 Place:||Berlin, Heidelberg|
|Series/Report no.:||Lecture Notes in Computer Science; 6315|
|Conference Name:||European Conference on Computer Vision (ECCV) (05 Sep 2010 - 11 Sep 2010 : Heraklion, Crete, Greece)|
|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  or exponential in model complexity . 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|
|Appears in Collections:||Computer Science publications|
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