摘要
摄像机标定技术已被广泛地应用于三维重建技术中。针对标定时需要手动确认角点比较耗时且可能存在误差的问题,本文提出一种基于双旋转模板的黑白棋盘角点检测算法。该算法首先通过Harris算法获得初始角点,然后通过构造旋转模板对获得的角点进行迭代筛选,最终求解得到符合标定要求的角点。实验证明本文算法不仅具有较高的稳定性,还提高了黑白棋盘上有效角点的检测精度和效率。
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.
出处
《微型机与应用》
2014年第21期42-44,共3页
Microcomputer & Its Applications
关键词
三维重建
摄像机标定
黑白棋盘
角点检测
HARRIS
3D reconstruction
camera calibration
black and white checkerboard
corner detection
Harris
