Monocular depth ordering using perceptual occlusion cues

Citació

  • 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

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Descripció

  • Resum

    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.
  • Descripció

    Comunicació presentada al congrés International Conference on Computer Vision Theory and Applications celebrat del 27 al 29 de febrer de 2016 a Roma, Itàlia.
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