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There is only you: Actively diminishing people in a scene

Authors
Kim, ChanranLee, JaehoonLee, KanghoonPark, Jong-Il
Issue Date
Apr-2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Deep Learning; Diminished Reality; Image Inpainting; Object Detection
Citation
International Conference on Electronics, Information and Communication, ICEIC 2018, v.2018-January, pp.1 - 4
Indexed
SCOPUS
Journal Title
International Conference on Electronics, Information and Communication, ICEIC 2018
Volume
2018-January
Start Page
1
End Page
4
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150325
DOI
10.23919/ELINFOCOM.2018.8330604
Abstract
There are various objects in a scene, and some of them are unwanted. In particular, background photographs and portraits contain photographs of unwanted people. It is also problematic to include unwanted objects in terms of portrait rights, trademark exposure, and copyright protection. It is important to diminish these unwanted objects more naturally than to simply erase or mosaic them. We propose a method to actively detect a person and naturally fill that region. The proposed methods perform diminishing people by combining an object detection method based on deep learning and an exemplar-based image inpainting method. To measure the performance accurately, the object to be removed is synthesized with the image. In addition, we constructed the proposed method partially or in whole by deep learning and compared the results.
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서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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