Automatic Estimation of Distortion Coefficient for Correcting Radial Distortion
- Authors
- Cho, Woon; Lee, Minjung; Kim, Hyungtae; Paik, 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.