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Diminishing unwanted objects based on object detection using deep learning and image inpainting
- Kim, Chanran;
- Lee, Younkyoung;
- Park, Jong-Il;
- Lee, Jaeha
Citations
SCOPUS
7초록
Photography is not done in perfect circumstances. Especially, it is difficult to shoot the only desired object in many circumstances. This paper proposes a method to diminish unwanted objects in photographs. we propose a basic design method of diminished reality using deep learning. Proposed method composed of object detection using deep learning and exemplar-based image inpainting. Previous methods should specify an undesired range before or during operation. Our method has the advantage that it is possible to diminish with the object label to diminish without having to select the area to diminish. The experimental results show naturally diminished scene of the proposed method.
키워드
Deep Learning; Diminished Reality; Image Inpainting; Integrated System; Object Detection; Object detection; Object recognition; Photography; Basic designs; Diminished Reality; Exemplar-based; Image Inpainting; Integrated systems; Objects-based; Deep learning
- 제목
- Diminishing unwanted objects based on object detection using deep learning and image inpainting
- 저자
- Kim, Chanran; Lee, Younkyoung; Park, Jong-Il; Lee, Jaeha
- 발행일
- 2018-05
- 유형
- Conference Paper
- 저널명
- 2018 International Workshop on Advanced Image Technology, IWAIT 2018
- 페이지
- 1 ~ 3