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Probabilistic methods have been used in image-based rendering for solving the virtual view synthesis problem with Bayesian inference. To work well, the inference process requires the input views to be consistent to yield reasonable result, which in turn constrains the cameras to be very close to each other. Many approaches to relieving such constraint focus on the prior model. In this paper, we present...
There are many applications, such as image-based rendering, where multiple views of a scene are considered simultaneously for improved analysis through employing strong correlation among the set of pixels corresponding to the same physical scene point. While being a useful tool for modeling pixel interactions, Markov random field (MRF) models encounter challenges in such cases since they assume strong...
One major challenge in traditional image-based rendering is 3D scene reconstruction by estimating accurate dense depth map, which suffers from the ambiguities in textureless or periodically textured regions. Alternatively, statistical methods may be used to estimate a most likely color for each pixel for photorealistic rendering from multiple views of the same scene. Such statistical methods normally...
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