Camera calibration approach based on adaptive active target

Yalin Zhang; Fuqiang Zhou; Peng Deng

doi:10.1117/12.922899

12 January 2012 Camera calibration approach based on adaptive active target

Yalin Zhang, Fuqiang Zhou, Peng Deng

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83501G (2012) https://doi.org/10.1117/12.922899
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Aiming at calibrating camera on site, where the lighting condition is hardly controlled and the quality of target images would be declined when the angle between camera and target changes, an adaptive active target is designed and the camera calibration approach based on the target is proposed. The active adaptive target in which LEDs are embedded is flat, providing active feature point. Therefore the brightness of the feature point can be modified via adjusting the electricity, judging from the threshold of image feature criteria. In order to extract features of the image accurately, the concept of subpixel-precise thresholding is also proposed. It converts the discrete representation of the digital image to continuous function by bilinear interpolation, and the sub-pixel contours are acquired by the intersection of the continuous function and the appropriate selection of threshold. According to analysis of the relationship between the features of the image and the brightness of the target, the area ratio of convex hulls and the grey value variance are adopted as the criteria. Result of experiments revealed that the adaptive active target accommodates well to the changing of the illumination in the environment, the camera calibration approach based on adaptive active target can obtain high level of accuracy and fit perfectly for image targeting in various industrial sites.

Citation Download Citation

Yalin Zhang, Fuqiang Zhou, and Peng Deng "Camera calibration approach based on adaptive active target", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83501G (12 January 2012); https://doi.org/10.1117/12.922899

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KEYWORDS

Cameras

Calibration

Light sources and illumination

Light emitting diodes

Image segmentation

3D acquisition

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