Geometric calibration algorithm of polarization camera using planar patterns

详细信息    查看全文

• 作者：Yujie Wang 王玉杰 ; Xiaoping Hu 胡小平…
• 关键词：Key wordspolarization camera ; multi ; camera calibration ; projection model ; geometrical constraint
• 刊名：Journal of Shanghai Jiaotong University (Science)
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：22
• 期：1
• 页码：55-59
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Electrical Engineering; Materials Science, general; Computer Science, general; Architecture, general; Life Sciences, general;
• 出版者：Shanghai Jiaotong University Press
• ISSN：1995-8188
• 卷排序：22

文摘

Polarization pattern provides additional information besides spectral signatures. It can be used in many applications, such as navigation, defect detection and object identification. A novel polarization camera composed of four synchronized cameras is proposed, and it can realize real-time polarization measurement. This study particularly concentrates on the geometric calibration of the system. The projection model is analyzed and the multi-camera calibration algorithm is proposed. Firstly, each camera is calibrated separately using planar patterns, and then the geometric calibration algorithms are performed. Due to the geometrical constraint, a global optimization method results in smaller estimation uncertainties. A mean rotation error of 0.025° and a mean translation error of 0.26mm are achieved after geometric calibration. The images are rectified to establish a correspondence among cameras and are combined to acquire the polarization measurement. The polarization pattern of the skylight is measured by the system and the results are consistent with the previous studies.