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Research Article | Open Access

Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering

Department of Science and Technology, Keio University, Japan.
Institute of Computer Graphics and Vision, Graz University of Technology, Austria.
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Abstract

Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences (thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a fence removal method for an image sequence captured by a user making a sweep motion, in which occluded background is potentially observed. To make use of geometric and appearance information such as consecutive images, we use two well-known approaches: structure from motion and light field rendering. Results using real image sequences show that our method can stably segment fences and preserve background details for various fence and background combinations. A new video without the fence, with frame coherence, can be successfully provided.

Keywords

videofencevideo repairdiminished reality (DR)structure from motion (SfM)light field rendering (LFR)

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CVM_2019_1_21-32_ESM.mp4

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Computational Visual Media
Volume 5 Issue 1,
March 2019
Pages 21-32
DOI: 10.1007/s41095-018-0126-8

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Cite this article:
Lueangwattana C, Mori S, Saito H. Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering. Computational Visual Media, 2019, 5(1): 21-32. https://doi.org/10.1007/s41095-018-0126-8

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Revised: 21 August 2018
Accepted: 31 October 2018
Published: 08 April 2019
© The author(s) 2019

This article is published with open access at Springerlink.com

The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www.editorialmanager.com/cvmj.