Recognition of Corners of Planar Checkboard Calibration Pattern Image

摘要：

The recognition of the internal corners of a planar checkerboard calibration pattern image is very important to camera calibration. An effective approach is proposed to automatically recognize the internal corners of the planar checkerboard calibration pattern image based on the characteristics of local intensity and the grid line architecture of the planar checkerboard pattern image. The proposed procedure consists of the detection of image corners, the recognition of the corners at the intersections of black and white squares and the recognition of the corners at the intersections of two groups of grid lines. Experiments show that the proposed approach obviously reduces the time cost for camera calibration, speeds up calibration process and is especially adapted for automatic calibration based on multiple images.

关键词： pattern camera calibration corner detection object recognition

作者: Zhongshi Wang Zhongge Wang Yingbin Wu

作者单位: School of Information Engineering, Shenyang University, Shenyang, 110044, China Network Center, Liaoning Rural Credit Union, Shenyang, 110033, China Liaoning Radio and TV University, Shenyang, 110034, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3224-3228

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）