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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html><!--<![endif]--><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>Epipolar Plane Diffusion: An efficient approach for Light Field Editing</title>
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<h1>Epipolar Plane Diffusion: An efficient approach for Light Field Editing</h1>
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<div class="affiliations_box">
<a href="http://oriel.github.io">Oriel Frigo</a> (<em>INRIA</em>),
<a href="http://people.rennes.inria.fr/Christine.Guillemot/">Christine Guillemot</a> (<em>INRIA</em>)
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<ul>
<li>O. Frigo, C. Guillemot, <i>Epipolar Plane Diffusion: An efficient approach for Light Field Editing</i>, BMVC, 2017. [<a href="pdf/frigo_bmvc2017.pdf">pdf</a>]</li>
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<p><b>Abstract:</b>
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.
<h4>Recolorization and inpainting results:</h4>
<iframe width="900" src="epd_video1.html" height="700" frameborder="0">
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<p> </p>
<h4>Additional inpainting results:</h4>
<iframe width="900" src="epd_video2.html" height="700" frameborder="0">
</iframe>
<p> </p>
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