Tomographic approach for the quantitative scene reconstruction from light field images

Abstract : Current computational methods for light field photography model the ray-tracing geometry inside the plenoptic camera. This representation of the problem, and some common approximations, can lead to errors in the estimation of object sizes and positions. We propose are presentation that leads to the correct reconstruction of object sizes and distances to the camera,by showing that light field images can be interpreted as limited angle cone-beam tomography acquisitions. We then quantitatively analyze its impact on image refocusing, depth estimation and volumetric reconstructions, comparing it against other possible representations. Finally, we validate these results with numerical and real-world examples.
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Journal articles
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https://hal.inria.fr/hal-02042417
Contributor : Xavier Granier <>
Submitted on : Wednesday, February 20, 2019 - 1:49:27 PM
Last modification on : Friday, February 22, 2019 - 1:18:41 AM

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Nicola Viganò, Henri Der Sarkissian, Charlotte Herzog, Ombeline de La Rochefoucauld, Robert Van Liere, et al.. Tomographic approach for the quantitative scene reconstruction from light field images. Optics Express, Optical Society of America, 2018, 26 (18), pp.22574. ⟨10.1364/OE.26.022574 ⟩. ⟨hal-02042417⟩

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