한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제31권4C호
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  • Pages.381-390
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  • 2006
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  • 1226-4717(pISSN)
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  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

평면 호모그래피를 이용한 3차원 재구성

3D Reconstruction Using the Planar Homograpy

  • 윤용인 (중앙대학교 첨단영상대학원 영상공학과 영상정보 연구실) ;
  • 옥형수 (삼성전자 DM총괄 프린트 사업부) ;
  • 최종수 (중앙대학교 첨단영상대학원 영상공학과 영상정보 연구실) ;
  • 오정수 (부경대학교 화상정보공학부)
  • 발행 : 2006.04.01
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 비 교정 영상에서 3장의 평면 패턴 영상들을 위치시켜, 한 장의 영상으로 찍어 얻은 영상으로부터 이들 평면 패턴 영상 간에 호모그래피(homography)로 카메라 교정을 하는 새로운 기법이 제안된다. 비교정 영상에서 3차원 재구성을 하려면 카메라 교정이 필수적이다. 제안된 방법은 대상 영상내에 존재하는 패턴 영상 간에 호모그래피를 계산함으로써, 3차원 재구성 시, 보다 쉽고 간단히 구현한다. 실험 결과는 제안된 방법(한 장내에 3장의 패턴영상 사용에 의한 카메라 교정법이 기존 방법(3장의 패턴영상 사용에 비해 매우 유용함을 확인한다. 또한, 비 교정 입력 영상에서 제안된 알고리즘을 이용한3차원 재구성의 예로 증명한다.

This paper proposes a new technque of the camera calibration to be computed a homography between the planar patterns taken by a single image to be located at the three planar patterns from uncalibrated images. It is essential to calibrate a camera for 3-dimensional reconstruction from uncalibrated image. Since the proposed method should be computed from the homography among the three planar patterns from a single image, it is implemented to more easily and simply to recover 3D reconstruction of an object than the conventional. Experimental results show the performances of the proposed method are the better than the conventional. We demonstrate examples of recovering 3D reconstruction using the proposed algorithm from uncalibrated images.

키워드

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