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

Chanya Lueangwattana; Shohei Mori; Hideo Saito

doi:10.1007/s41095-018-0126-8

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

Chanya Lueangwattana, Shohei Mori, Hideo Saito

Department of Information and Computer Science

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	21-32
Number of pages	12
Journal	Computational Visual Media
Volume	5
Issue number	1
DOIs	https://doi.org/10.1007/s41095-018-0126-8
Publication status	Published - 2019 Mar 1

Keywords

diminished reality (DR)
fence
light field rendering (LFR)
structure from motion (SfM)
video
video repair

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design
Artificial Intelligence

Access to Document

10.1007/s41095-018-0126-8

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