Part-based modelling of compound scenes from images
Files
(Restricted Access)
Date
2015
Authors
Van Den Hengel, A.
Russell, C.
Dick, A.
Bastian, J.
Pooley, D.
Fleming, L.
Agapito, L.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2015, vol.07-12-June-2015, pp.878-886
Statement of Responsibility
Anton van den Hengel, Chris Russell, Anthony Dick, John Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito
Conference Name
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
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.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
© 2015 IEEE