摘要
基于改进两步法的标定思想,在三维重构中提出了一种新的视觉系统参数标定与镜头畸变修正方法.该方法利用图像中心附近点畸变量较小的性质,用中心附近点和全场视点对CCD相机和DLP投影仪的内外部参数标定和镜头畸变校正进行分离.标定过程中,所设计的带标准圆阵列的靶标和伪随机连续方形编码可以实现特征点的自动识别和匹配.实验证明,该方法能快速、方便地对视觉系统进行标定和畸变误差修正,提高了三维重构精度.
A novel calibration and lens distortion correction of 3D reconstruction systems is introduced in this paper. Assuming zero distortion at the center of image, the parameter calibration and lens distortion correction of the CCD camera and the DLP projector is separated with the center points and all the rest points in the field. Furthermore, identification and correspondence of the interested points are automatically done because of the design target with standard circles and muhicolor code of pseudo-random array during calibration. Experiments show that the proposed method is fast and convenient in the calibration of lens distortion.
出处
《应用科学学报》
CAS
CSCD
北大核心
2007年第6期627-631,共5页
Journal of Applied Sciences
基金
国家自然科学基金(50275049)
安徽省重点科研项目(05022032)资助项目
关键词
三维重构
彩色伪随机编码
参数标定
畸变系数
误差修正
3D reconstruction
multicolor code of pseudo-random array
parameter calibration
distortion coefficient
error correction
