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Automatic Estimation of Distortion Coefficient for Correcting Radial Distortion

Authors
Cho, WoonLee, MinjungKim, HyungtaePaik, Joonki
Issue Date
Jan-2018
Publisher
IEEE
Keywords
Distortion coefficients estimation; automatic distortion correction; CNN based facial landmark point detection
Citation
2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), v.2018-January, pp 353 - 355
Pages
3
Journal Title
2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC)
Volume
2018-January
Start Page
353
End Page
355
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56208
DOI
10.23919/ELINFOCOM.2018.8330606
ISSN
2377-8431
Abstract
This study proposes the facial landmark points based distortion coefficients estimation to overcome the radial distortion. Existing methods estimate the distortion rate using the predefined information, such as design model of lens, pattern information, and prior learning. The extracted scene information based on the proposed method successively correct the distortion in distortion image without predefined information and significantly improves the predefined step of distortion correction method.
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Paik, Joon Ki
첨단영상대학원 (영상학과)
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