Abstract
This paper presents an algorithm for real-time depth estimation with a focused plenoptic camera. The described algorithm is based on pixel-wise stereo-observations in the raw image recorded by the plenoptic camera which are combined in a probabilistic depth map. Additionally, we provide efficient methods for outlier removal based on a Naive Bayes classifier as well as depth refinement using a bilateral filter. We achieve a real-time performance for our algorithm by an optimized parallel implementation.
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Vasko, R., Zeller, N., Quint, F., Stilla, U. (2015). A Real-Time Depth Estimation Approach for a Focused Plenoptic Camera. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9475. Springer, Cham. https://doi.org/10.1007/978-3-319-27863-6_7
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DOI: https://doi.org/10.1007/978-3-319-27863-6_7
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