Hierarchical region-based representation for segmentation and filtering with depth in single images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Occlusion cues for image scene layering
Computer Vision and Image Understanding
Stereoscopizing cel animations
ACM Transactions on Graphics (TOG)
International Journal of Computer Vision
Accurate Junction Detection and Characterization in Natural Images
International Journal of Computer Vision
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Occlusion is one of the major consequences of the physical image generation process: it occurs when an opaque object partly obscures the view of another object further away from the viewpoint. Local signatures of occlusion in the projected image plane are T-shaped junctions. They represent, in some sense, one of the most primitive depth information. In this paper, we investigate the usefulness of T-junctions for depth segregation in single images. Our strategy consists in incorporating ordering information provided by T-junctions into a region merging algorithm and then reasoning about the depth relations between the regions of the final partition using a graph model. Experimental results demonstrate the effectiveness of the proposed approach.