Diminishing unwanted objects based on object detection using deep learning and image inpainting

Citations

SCOPUS

7

초록

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 LearningDiminished RealityImage InpaintingIntegrated SystemObject DetectionObject detectionObject recognitionPhotographyBasic designsDiminished RealityExemplar-basedImage InpaintingIntegrated systemsObjects-basedDeep learning
제목
Diminishing unwanted objects based on object detection using deep learning and image inpainting
저자
Kim, ChanranLee, YounkyoungPark, Jong-IlLee, Jaeha
DOI
10.1109/IWAIT.2018.8369785
발행일
2018-05
유형
Conference Paper
저널명
2018 International Workshop on Advanced Image Technology, IWAIT 2018
페이지
1 ~ 3