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 |
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Pages (from-to) | 21-32 |
Number of pages | 12 |
Journal | Computational Visual Media |
Volume | 5 |
Issue number | 1 |
DOIs | |
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