Fisheye camera's intrinsic parameter estimation using trajectories of feature points obtained from camera rotation
2017 IEEE/SICE International Symposium on System Integration (SII)(2017)
摘要
This paper proposes a simple method of estimating fisheye camera's intrinsic parameters without calibration targets. This method takes advantage of the trajectories of feature points in the scene. The trajectories of feature points are obtained from a rotation movement of the camera around the vertical axis. The feature points are utilized for calibration, thus specific calibration targets are not required. The proposed method estimates intrinsic parameters of a real fisheye camera. The validity of the proposed method is verified by the perspective projection of a distorted image using estimated parameters. In addition, this paper compares the results of perspective projection using the proposed method and the conventional method.
更多查看译文
关键词
fisheye camera,trajectories,feature points,camera rotation,estimated parameters,intrinsic parameter estimation,rotation movement,distorted image
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络