Diminished reality for landscape video sequences with homographies

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Abstract

This paper describes a Diminished Reality application to eliminate occluders on videos capturing distant landscapes. Although many tourist spots have lookouts to see the distant landscape, the video capturing from there usually includes obstructive occluders such as pillar and muntin. The application vanishes the occluders in the video in semi-interactively with homographies of distant landscape among frames. For this purpose, the regions of occluders in every frame are segmented by the GrabCut algorism, and then the each region is recovered by the appropriate texture from another frame which is not occluded in same region. © 2010 Springer-Verlag.

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APA

Takeda, K., & Sakamoto, R. (2010). Diminished reality for landscape video sequences with homographies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6278 LNAI, pp. 501–508). https://doi.org/10.1007/978-3-642-15393-8_56

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