Compression light field reconstruction and depth estimation
نویسندگان
چکیده
منابع مشابه
Joint Blind Motion Deblurring and Depth Estimation of Light Field
Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spatially due to scene depth variation and high-order camera motion. In this paper, we propose a novel algorithm to estimate all blur model variables jointly, including latent sub-aperture image, camera motion, and scene...
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Outline. We show our results on various datasets, including images taken with the Lytro by Tao et al. [2013] and our own dataset, images from the Stanford light field dataset [sta, 2008] and results on an artificial dataset [Wanner et al., 2013]. Furthermore, we expand on details such as the triangular function and the selection of the parameters. Finally, we discuss implications of our no-occl...
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Light-field cameras have now become available in both consumer and industrial applications, and recent papers have demonstrated practical algorithms for depth recovery from a passive single-shot capture. However, current lightfield depth estimation methods are designed for Lambertian objects and fail or degrade for glossy or specular surfaces. Because light-field cameras have an array of micro-...
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ژورنال
عنوان ژورنال: Journal of Applied Optics
سال: 2019
ISSN: 1002-2082
DOI: 10.5768/jao201940.0201001