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.
WANG Yujie* (王玉杰), HU Xiaoping (胡小平), LIAN Junxiang (练军想),ZHANG Lilian (张礼廉), HE Xiaofeng (何晓峰), FAN Chen (范 晨)
. Geometric Calibration Algorithm of Polarization Camera Using Planar Patterns[J]. Journal of Shanghai Jiaotong University(Science), 2017
, 22(1)
: 55
-059
.
DOI: 10.1007/s12204-017-1799-3
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