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20162022
most citedFast and Accurate Optical Flow based Depth Map Estimation from Light Fields

33 citations · 63 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021★ 2 cited

Spectral analysis of re-parameterized light fields

Martin Alain, Aljosa Smolic

In this paper, we study the spectral properties of re-parameterized light field. Following previous studies of the light field spectrum, which notably provided sampling guidelines,…

cs.CV2020★ 20 cited

A Study of Efficient Light Field Subsampling and Reconstruction Strategies

Yang Chen, Martin Alain, Aljosa Smolic

Limited angular resolution is one of the main obstacles for practical applications of light fields. Although numerous approaches have been proposed to enhance angular resolution, v…

cs.CV2020★ 33 cited

Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields

Yang Chen, Martin Alain, Aljosa Smolic

Depth map estimation is a crucial task in computer vision, and new approaches have recently emerged taking advantage of light fields, as this new imaging modality captures much mor…

cs.CV2018

A Pipeline for Lenslet Light Field Quality Enhancement

Pierre Matysiak, Mairéad Grogan, Mikaël Le Pendu +2

In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing. Among the different methods u…

cs.CV2016

Scalable image coding based on epitomes

Martin Alain, Christine Guillemot, Dominique Thoreau +1

In this paper, we propose a novel scheme for scalable image coding based on the concept of epitome. An epitome can be seen as a factorized representation of an image. Focusing on s…