碩士 / 國立臺北科技大學 / 電機工程研究所 / 104 / Due to the wide angle (over 180 degrees) characteristic of fisheye camera, it provides maximum image data in limited hardware resources. This comes convenient and is widely used in modern surveillance systems, driver auxiliary systems, and robot computer vision. However, fisheye camera introduces radial distortion which is irregular to normal human visual habits. This results in visual disorder and some might find it distracting. Fisheye distortion correction is essential in order to undo curve distortion to obtain normal perspective camera image. Traditional fisheye calibration still suffers from stretched boundary results of the undistorted fisheye image, which is abnormal and may cause severe error when executing metric measuring in computer vision. Therefore, a more accurate fisheye camera calibration is needed.
In this thesis we make improvement to traditional fisheye camera calibration methods. Chessboard corners are used as eigenpoints to calculate the relation between 2D image points and 3D world points. We also measure the horizontal and vertical FOV of the fisheye camera and alternate the range in the fisheye model. In addition, we perform a polynomial distribution weight in the joint residual while we do curve fitting refinement. With our fisheye camera calibration method, we can attain better camera parameters and produce a more accurate fisheye undistortion image. Experiment results shows that our method can correct radial distortion and stretched boundary in fisheye images. Our approach is easy to use and we improve the overall accuracy for fisheye camera calibration.
| Identifer | oai:union.ndltd.org:TW/104TIT05442076 |
| Creators | Che Tsai, 蔡哲 |
| Contributors | 郭天穎 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 0 |
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