Epipolar Plane Diffusion: An Efficient Approach for Light Field Editing
Author(s) -
Oriel Frigo,
Christine Guillemot
Publication year - 2017
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.31.47
Subject(s) - epipolar geometry , light field , computer science , plane (geometry) , diffusion , field (mathematics) , computer graphics (images) , computer vision , artificial intelligence , geometry , mathematics , physics , pure mathematics , image (mathematics) , thermodynamics
This paper presents a novel approach for light field editing. The problem of propagating an edit from a single view to the remaining light field is solved by a structure tensor driven diffusion on the epipolar plane images. The proposed method is shown to be useful for two applications: light field inpainting and recolorization. While the light field recolorization is obtained with a straightforward diffusion, the inpainting application is particularly challenging, as the structure tensors accounting for disparities are unknown under the occluding mask. We address this issue with a disparity inpainting by means of an interpolation constrained by superpixel boundaries. Results on synthetic and real light field images demonstrate the effectiveness of the proposed method.
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