摘要
Abstract
Camera calibration technique has been widely used in 3D reconstruction. In order to solve the problem of time-consuming and error-introducing during manual calibration, a novel algorithm based on double rotation template is proposed to improve the corner detection in black and white checkerboard. Firstly, the proposed algorithm obtains the initial corners through the Harris algorithm. Then it screens the obtained corners iteratively by constructing double rotation template. Finally, the corners only in black and white checkerboard are solved. The experimental results demonstrate that the proposed algorithm has high stability, and it also improves the accuracy and efficiency of corner detection.关键词
三维重建/摄像机标定/黑白棋盘/角点检测/HarrisKey words
3D reconstruction/camera calibration/black and white checkerboard/corner detection/Harris分类
信息技术与安全科学
