Name
Title | ||
|---|---|---|
Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering. |
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s41095-018-0126-8 | Computational Visual Media |
Keywords | Field | DocType |
video, fence, video repair, diminished reality (DR), structure from motion (SfM), light field rendering (LFR) | Structure from motion,Computer vision,Light field rendering,Coherence (physics),Artificial intelligence,Real image,Image sequence,Mathematics,3D reconstruction | Journal |
Volume | Issue | ISSN |
5 | 1 | 2096-0662 |
Citations | PageRank | References |
1 | 0.35 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chanya Lueangwattana | 1 | 1 | 0.35 |
| Shohei Mori | 2 | 23 | 11.00 |
| Hideo Saito | 3 | 1147 | 169.63 |