Monocular depth ordering using perceptual occlusion cues
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- dc.contributor.author Rezaeirowshan, Babak
- dc.contributor.author Ballester, Coloma
- dc.contributor.author Haro Ortega, Gloria
- dc.date.accessioned 2018-11-22T09:50:48Z
- dc.date.available 2018-11-22T09:50:48Z
- dc.date.issued 2016
- dc.description Comunicació presentada al congrés International Conference on Computer Vision Theory and Applications celebrat del 27 al 29 de febrer de 2016 a Roma, Itàlia.
- dc.description.abstract In this paper we propose a method to estimate a global depth order between the objects of a scene using information from a single image coming from an uncalibrated camera. The method we present stems from early vision cues such as occlusion and convexity and uses them to infer both a local and a global depth order. Monocular occlusion cues, namely, T-junctions and convexities, contain information suggesting a local depth order between neighbouring objects. A combination of these cues is more suitable, because, while information conveyed by T-junctions is perceptually stronger, they are not as prevalent as convexity cues in natural images. We propose a novel convexity detector that also establishes a local depth order. The partial order is extracted in T-junctions by using a curvature-based multi-scale feature. Finally, a global depth order, i.e., a full order of all shapes that is as consistent as possible with the computed partial orders that can tolerate conflicting partial or ders is computed. An integration scheme based on a Markov chain approximation of the rank aggregation problem is used for this purpose. The experiments conducted show that the proposed method compares favorably with the state of the art.
- dc.description.sponsorship The authors acknowledge partial support by MICINN project, reference MTM2012-30772, and by GRC reference 2014 SGR 1301, Generalitat de Catalunya.
- dc.format.mimetype application/pdf
- dc.identifier.citation Rezaeirowshan B, Ballester C, Haro G. Monocular depth ordering using perceptual occlusion cues. In: Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) - Volume 4; 2016 Feb 27-29; Rome, Italy. Setúbal: Scitepress; 2016. p. 431-41. DOI: 10.5220/0005726404310441
- dc.identifier.doi http://dx.doi.org/10.5220/0005726404310441
- dc.identifier.isbn 978-989-758-175-5
- dc.identifier.uri http://hdl.handle.net/10230/35824
- dc.language.iso eng
- dc.publisher SCITEPRESS – Science and Technology Publications, Lda.
- dc.relation.ispartof Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) - Volume 4; 2016 Feb 27-29; Rome, Italy. Setúbal: Scitepress; 2016.
- dc.rights © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Monocular depth
- dc.subject.keyword Ordinal depth
- dc.subject.keyword Depth layering
- dc.subject.keyword Occlusion reasoning
- dc.subject.keyword Convexity
- dc.subject.keyword T-junctions
- dc.subject.keyword Boundary ownership
- dc.subject.keyword 2.1D
- dc.title Monocular depth ordering using perceptual occlusion cues
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion