The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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3D Reconstruction using vanishing points

소실점을 이용한 3차원 재구성

  • 김상훈 (중앙대학교 대학원 영상공학과) ;
  • 김태은 (남서울대학교 멀티미디어학과) ;
  • 최종수 (중앙대학교 영상공학과)
  • Published : 2003.08.01
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Abstract

This paper proposes a calibration method from two images. Camera calibration is necessarily required to obtain 3D Information from 2D images. Previous works to accomplish the camera calibration needed the calibration object or required more than three images to calculate the Kruppa equation, however, we use the geometric constraints of parallelism and orthogonality can be easily presented in man-made scenes. The task of it is to obtain intrinsic and extrinsic camera parameters. The intrinsic parameters are evaluated from vanishing points and then the extrinsic parameters which are consisted of rotation matrix and translation vector of the camera are estimated from corresponding points of two views. From the calibrated parameters, we can recover the projection matrices for each view point. These projection matrices are used to recover 3D information of the scene and can be used to visualize new viewpoints.

본 논문에서는 2장의 영상으로부터 카메라 내부 파라미터를 추출하는 교정 방법을 제시한다. 카메라 교정은 2차원 영상으로부터 3차원 정보를 얻기 위해서는 필수 불가결한 기술이다. 기존의 많은 연구들이 수행되어 왔는데, 영상내에 체크 패턴을 포함한 3장의 영상을 이용하는 방법과 연속된 3장의 영상으로부터 Kruppa 방정식을 풀어 카메라 교정하는 방법이 대표적인 예가 되겠다. 본 논문에서는 인간이 만든 조형물에서 쉽게 발견할 수 있는 기하학적인 정보를 이용하여 보다 쉽고 빠르게 내부 파라미터를 추출한다. 이러한 내부 파라미터는 소실점들로부터 추정되며 대응되는 2장의 영상에서 대응점들로부터 외부 파라미터를 추출할 수 있다. 이렇게 교정된 내부, 외부 파라미터를 이용하여 사영 행렬을 유도하고, 유도된 사영행렬로 3차원 정보를 얻게 되고 3차원 재구성을 구현하게 된다.

Keywords

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