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Depth Diffusion Objects (DeDiO) - A Seamless Object-based Approach for TV Applications
Citation key 0736Kim2005
Author Jang-Heon Kim and Matthias Kunter and Thomas Sikora
Title of Book 2nd Workshop on Immersive Communication and Broadcast Systems (ICOB '05)
Year 2005
Address Berlin, Germany
Month oct
Abstract This paper proposes a novel and seamless object-based method for visual contents fusion called “Depth Diffusion Object (DEDIO)”. It employs depth-based object segmentation in multiview scenes and allows the composition of new scenes conveying a natural image impression. Using spatial anisotropic diffusion, the homogeneous regions of a scene which have similar depth are smoothly regularized following the spatial variation while discontinuities are preserved. The object’s shape is automatically extracted by the depth range. In order to fuse the object with new background images we use membrane harmonizing applying directional constrained diffusion to remove visual seams and blend object, i.e. the remaining background area in the segmented object near the shape boundary. Our system automatically maintains the seamless object composition quality, even if the object is merged with new scenes, having different lightening conditions.
Link to publication [1] Download Bibtex entry [2]
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