A new approach to sub-pixel corner detection of the grid in microscopic camera calibration
Camera calibration is one of the key technologies of Computer Vision.This paper presented a microscope camera calibration method based on grid sub-pixel corner detection for the particular application area of microscopic measurement.First of all,the actual comer coordinates information of the grid was obtained through the improved Harris comer detection method.Then,considering the distribution law of comer coordinates in the microscopic image,the paper obtained the sub-pixel corner coordinates by combining the quadratic surface and linear fitting.Finally,through the established non-linear camera model,the average error between fore-projection and re-projection grid corner coordinates was obtained by re-projecting the grid corner coordinates.Experimental results show that the sub-pixel comer detection algorithm is accurate and the final calibration error is 0.4637 pixels.Compared with improved Harris comer detection,the accuracy increased by about 52%,which is applicable to microscopic camera calibration.
microscopic camera calibration corner detection sub-pixel corner detection
Wang Yuan Gangyi Jiang Yigang Wang Mei Yu Feng Shao Zongju Peng Songyin Fu Fucui Li
Faculty of Information Science and Engineering, Ningbo University, Ningbo, China Dept.of Information, Ningbo Institute of Technology, Zhejiang University, Ningbo, China
国际会议
台湾
英文
4377-4381
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）