한국전자통신학회논문지 (The Journal of the Korea institute of electronic communication sciences)

한국전자통신학회 (Korea Institute of Electronic Communication Science)
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카메라 모델의 추정과 검증을 통한 광각 카메라 영상의 왜곡 보정 방법

A Distortion Correction Method of Wide-Angle Camera Images through the Estimation and Validation of a Camera Model

  • 김경임 (전남대학교 디지털컨버전스협동과정) ;
  • 한순희 (전남대학교 문화콘텐츠학부) ;
  • 박정선 (전남대학교 문화콘텐츠학부)
  • 투고 : 2013.10.05
  • 심사 : 2013.12.16
  • 발행 : 2013.12.31
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초록

본 논문에서는 광각 카메라로 촬영한 영상에서 생기는 영상의 왜곡 문제를 해결하기 위하여, 카메라 모델의 추정과 검증을 통하여 광각 카메라 영상에서의 방사형 왜곡을 보정하는 방법을 제안한다. 먼저, 교정 패턴으로부터 렌즈의 초점 거리와 주점의 위치 등으로 구성된 내부 파라미터와 회전과 위치 정보로 구성된 외부 파라미터를 찾음으로써 카메라의 왜곡 모델을 추정한다. 다음으로, 추정된 카메라 모델로부터 역으로 코너점을 다시 추출하여 검증하고, 마지막으로, 검증된 카메라 모델을 이용하여 영상의 왜곡을 보정한다. 일반 웹 카메라와 광각 카메라로부터 격자 모양의 교정 패턴을 촬영한 영상을 이용하여 방사형 왜곡을 보정하는 실험을 수행한 결과, 제안된 방법이 80% 이상의 개선 성능을 보임을 확인하였다.

In order to solve the problem of severely distorted images from a wide-angle camera, we propose a calibration method which corrects a radial distortion in wide-angle images by estimation and validation of camera model. First, we estimate a camera model consisting of intrinsic and extrinsic parameters from calibration patterns, where intrinsic parameters are the focal length, the principal point and so on, and extrinsic parameters are the relative position and orientation of calibration pattern from a camera. Next we validate the estimated camera model by re-extracting corner points by inversing the model to images. Finally we correct the distortion of the image using the validated camera model. We confirm that the proposed method can correct the distortion more than 80% by the calibration experiments using the lattice shaped pattern images captured from a general web camera and a wide-angle camera.

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