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

Authors
Kim, ChanranLee, YounkyoungPark, Jong-IlLee, Jaeha
Issue Date
May-2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Deep Learning; Diminished Reality; Image Inpainting; Integrated System; Object Detection
Citation
2018 International Workshop on Advanced Image Technology, IWAIT 2018, pp.1 - 3
Indexed
SCOPUS
Journal Title
2018 International Workshop on Advanced Image Technology, IWAIT 2018
Start Page
1
End Page
3
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150076
DOI
10.1109/IWAIT.2018.8369785
Abstract
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.
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서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

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Park, Jong-Il
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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