Removing Fences from Sweep Motion Videos Using Global 3D Reconstruction and Fence-aware Light Field Rendering

Chanya Lueangwattana, Shohei Mori*, Hideo Saito

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)21-32
JournalComputational Visual Media
Volume5
DOIs
Publication statusPublished - 8 Apr 2019

Fingerprint

Dive into the research topics of 'Removing Fences from Sweep Motion Videos Using Global 3D Reconstruction and Fence-aware Light Field Rendering'. Together they form a unique fingerprint.

Cite this