@article{Lueangwattana2019, 
author = {Chanya Lueangwattana and Shohei Mori and Hideo Saito},
title = {Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering},
year = {2019},
journal = {Computational Visual Media},
volume = {5},
number = {1},
pages = {21-32},
keywords = {video, fence, video repair, diminished reality (DR), structure from motion (SfM), light field rendering (LFR)},
url = {https://www.sciopen.com/article/10.1007/s41095-018-0126-8},
doi = {10.1007/s41095-018-0126-8},
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.}
}