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Geometric calibration based on B-spline with multi-parameter and color correction based on transition template and decay function

  • Ya-ting XueEmail author
  • Yao-jie Chen
  • Min Jiang
Article
  • 14 Downloads

Abstract

To achieve low-cost and fast multi-channel surface projection geometric correction, the quadratic quasi-uniform B-spline surface is used to reconstruct the deformation screen, and the coordinates of the boundary mesh node are calculated as the texture mapping vertex coordinates by adjusting the position of the control point. On the DirectX platform, the main desktop image is obtained through frame buffer copy, by adjusting the shape parameters and moving the control points as a whole, the multi-projection screen is corrected and the coordinates are saved to realize the surface reconstruction. Compared with the no-parameter curve, by adding a plurality of shape parameters, the distance and the relationship between the control point and the curve are more precisely adjusted, and better correction can be realized. Then, feature image projection is performed between adjacent channels, and the color template is calculated according to the collected color information to apply to a video frame of one channel, thereby eliminating chromatic aberration caused by different projector lamp problems. Finally, a smooth luminance decay function is used to attenuate the highlights appearing in overlapping areas between adjacent channels. The experimental results of the two-channel stereoscopic projection system show that the method is simple and highly efficient, and it has lower requirements for equipment, which is easy to operate in the adjustment process, and has strong adaptability to the engineering environment.

Keywords

B-spline Shape parameter Color correction Brightness decay 

Notes

Acknowledgments

This work was financially supported by national science and technology support program (2015BAG20B05) and Hubei Provincial key laboratory of open fund (2016znss08B).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyWuhan University of Science and TechnologyWuhanChina
  2. 2.Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial SystemWuhanChina
  3. 3.College of ShippingWuhan University of TechnologyWuhanChina
  4. 4.Department of Computer SciencePortland State UniversityPortlandUSA

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