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 |
|---|---|
| Journal | Computational Visual Media |
| DOIs | |
| Publication status | Accepted/In press - 2018 Jan 1 |
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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
Cite this
Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering. / Lueangwattana, Chanya; Mori, Shohei; Saito, Hideo.
In: Computational Visual Media, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering
AU - Lueangwattana, Chanya
AU - Mori, Shohei
AU - Saito, Hideo
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - diminished reality (DR)
KW - fence
KW - light field rendering (LFR)
KW - structure from motion (SfM)
KW - video
KW - video repair
UR - http://www.scopus.com/inward/record.url?scp=85057309626&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057309626&partnerID=8YFLogxK
U2 - 10.1007/s41095-018-0126-8
DO - 10.1007/s41095-018-0126-8
M3 - Article
AN - SCOPUS:85057309626
JO - Computational Visual Media
JF - Computational Visual Media
SN - 2096-0433
ER -