Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/107910
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Type: Conference paper
Title: Part-based modelling of compound scenes from images
Author: Van Den Hengel, A.
Russell, C.
Dick, A.
Bastian, J.
Pooley, D.
Fleming, L.
Agapito, L.
Citation: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2015 / vol.07-12-June-2015, pp.878-886
Publisher: IEEE
Issue Date: 2015
Series/Report no.: IEEE Conference on Computer Vision and Pattern Recognition
ISBN: 9781467369640
ISSN: 1063-6919
Conference Name: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (07 Jun 2015 - 12 Jun 2015 : Boston, MA)
Statement of
Responsibility: 
Anton van den Hengel, Chris Russell, Anthony Dick, John Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito
Abstract: We propose a method to recover the structure of a com- pound scene from multiple silhouettes. Structure is ex- pressed as a collection of 3D primitives chosen from a pre- defined library, each with an associated pose. This has several advantages over a volume or mesh representation both for estimation and the utility of the recovered model. The main challenge in recovering such a model is the com- binatorial number of possible arrangements of parts. We address this issue by exploiting the intrinsic structure and sparsity of the problem, and show that our method scales to scenes constructed from large libraries of parts.
Rights: © 2015 IEEE
RMID: 0030045882
DOI: 10.1109/CVPR.2015.7298689
Appears in Collections:Computer Science publications

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