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In this paper we propose a simple yet effective approach to convert existing 2D video content into 3D. We present a new semi-automatic algorithm that propagates sparse user-provided depth information over the whole monocular video sequence. The advantage of our algorithm over previous work comes from the use of spatio-temporal video segmentation techniques. The segmentation preserves depth discontinuities, which is challenging for previous approaches. A subsequent refinement step enables smooth depth changes over time and yields the final depth map. Quantitative evaluations show that the proposed algorithm is able to produce good quality and temporal-coherent 3D videos.
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Research Areas:
Visual Computing and Human-Centered Technology: 100%
