Assessing the influence of temperature variations on the geometrical properties of a low-cost calibrated camera system by using computer vision procedures

作者：Podbreznik Peter^*; Potocnik Bozidar

来源：Machine Vision and Applications, 2012, 23(5): 953-966.

DOI：10.1007/s00138-011-0330-3

• Perspective projection matrix
• Analytical camera model
• Intrinsic parameters
• Extrinsic parameters
• Camera calibration
• Temperature variations

This paper estimates temperature influence on geometrical properties of both a single camera and a calibrated camera system, assuming low-cost CCD cameras. It does not cover the effect of temperature on the camera%26apos;s electronics. Firstly, the influence of temperature change on camera parameters was modelled and integrated into an existing analytical camera model. A modified camera model enables quantitative assessment regarding the influence of temperature variations for a single camera. Temperature variations also directly influence the accuracies of calibrated cameras. The inability to analytically determine the calibration method error magnitude, led us to experimentally estimate errors regarding calibrated cameras. Finally, the total error regarding calibrated cameras was derived by combining the numerical error of the calibration method with those errors originating from temperature variations. The results show that the influence of temperature variations decreases when increasing the distances of the observed objects from the cameras. On a typical building site, the temperature influence is reflected in the image as an error of less than one pixel.

• 出版日期2012-9