1D Infrared Camera Distortion Based on Polynomial Model

摘要：

　　In this paper,we propose a novel method for 1D infrared camera distortion based on polynomial model.We derive a 1D camera calibration algorithm and then estimate the distortion parameters by means of minimum calibration error.The used polynomial model is linear,such that the estimation can be finished with low computation burden without losing accuracy.The proposed method is validated with real images.The experimental results show that the distortion parameters can be estimated with high accuracy up to about 2-pixel mean error in less than 10 iterations.

关键词： Camera calibration Lens distortion Infrared camera

作者: Qin Wenjian Li Zhicheng Gu Jia Chen Ke Zhang Xiaoping

作者单位: Research Centre for Medical Robotics and Minimally Invasive Surgical Devices,Shenzhen Institutes of Lenovo Corporate R&D,Beijing, China, 100085

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 698-701

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）