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Volume: 31 | Article ID: art00023
Semi-automatic post-processing of multi-view 2D-plus-depth video
  DOI :  10.2352/ISSN.2470-1173.2019.3.SDA-657  Published OnlineJanuary 2019

We propose a post-processing framework based on multiview interactive video segmentation for correcting 2D-plus-depth video footage. The suggested approach uses user-made scribbles to guide the multi-view segmentation process, which is based on an efficient cost-volume filtering algorithm. We extend the 2D algorithm to 3D and propose several improvements that increase precision and recall while also decreasing the need for user input. Our semi-automatic approach is supported by an interactive visualization tool that integrates both 2D and 3D views of the footage, allowing the user to explore novel views coherently and grasp a better understanding of the underlying data. We integrate our post-processing framework into a workflow for generating dynamic meshes from footage recorded by multiple stereo cameras, demonstrating the applicability of the technique.

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Braulio Sespede, Florian Seitner, Margrit Gelautz, "Semi-automatic post-processing of multi-view 2D-plus-depth videoin Proc. IS&T Int’l. Symp. on Electronic Imaging: Stereoscopic Displays and Applications XXX,  2019,  pp 657-1 - 657-6,

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