Geometric Calibration Algorithm of Polarization Camera Using Planar Patterns
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 polarizat...
Saved in:
Published in: | Shanghai jiao tong da xue xue bao Vol. 22; no. 1; pp. 55 - 59 |
---|---|
Main Author: | |
Format: | Journal Article |
Language: | English |
Published: |
Shanghai
Shanghai Jiaotong University Press
01-02-2017
Springer Nature B.V |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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 0.26 mm 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. |
---|---|
Bibliography: | WANG Yujie;HU Xiaoping;LIAN Junxiang;ZHANG Lilian;HE Xiaofeng;FAN Chen;College of Mechatronics and Automation, National University of Defense Technology 31-1943/U ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1007-1172 1995-8188 |
DOI: | 10.1007/s12204-017-1799-3 |