摘要： 针对传统摄像机标定方法存在的局限性问题，提出一种基于单幅回旋曲面图像的摄像机标定方法，综合运用计算机视觉、图像处理和计算机辅助几何设计技术，为单幅图像提供足够的几何信息用以摄像机标定，研究单幅未标定的包含回旋曲面以及特殊标定块的图像。仿真实验结果表明，该方法能够有效标定摄像机，为推广基于图像处理的应用技术提供条件。
关键词:
交平面,
摄像机标定,
回旋曲面
Abstract: Aiming at the limitation problems in traditional camera calibration methods, a novel camera calibration method based on single rondo surface image is proposed, which uses computer vision, image processing and computer-aided geometric technology to provide enough geometric information for single images to conduct camera calibration. The single uncalibration image including rondo surface and the special calibration block are researched. Simulation experimental results show this method can calibrate the camera effectively, and provide conditions for application technology based on image processing.
Key words:
cross plane,
camera calibration,
rondo surface
中图分类号:
隋连升;杨 华. 基于单幅回旋曲面图像的摄像机标定方法[J]. 计算机工程, 2009, 35(16): 216-218.
SUI Lian-sheng; YANG Hua. Camera Calibration Method Based on Single Rondo Surface Image[J]. Computer Engineering, 2009, 35(16): 216-218.