19 May 1999 Camera calibration for color research
Author Affiliations +
In this paper we introduce a new method for determining the relationship between signal spectra and camera RGB which is required for many applications in color. We work with the standard camera model, which assumes that the response is linear. We also provide an example of how the fitting procedure can be augmented to include fitting for a previously estimated non-linearity. The basic idea of our method is to minimize squared error subject to linear constraints, which enforce positivity and range of the result. It is also possible to constrain the smoothness, but we have found that it is better to add a regularization expression to the objective function to promote smoothness. With this method, smoothness and error can be traded against each other without being restricted by arbitrary bounds. The method is easily implemented as it is an example of a quadratic programming problem, for which there are many software solutions available. In this paper we provide the results using this method and others to calibrate a Sony DXC-930 CCD color video camera. We find that the method gives low error, while delivering sensors which are smooth and physically realizable. Thus we find the method superior to methods which ignore any of these considerations.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kobus Barnard, Kobus Barnard, Brian V. Funt, Brian V. Funt, } "Camera calibration for color research", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); doi: 10.1117/12.348476; https://doi.org/10.1117/12.348476


New methods of measuring and calibrating robots
Proceedings of SPIE (October 02 1995)
Stability properties of vision-based controlled flexible arm
Proceedings of SPIE (September 17 2001)
Alignment of image profiles in optical gauging
Proceedings of SPIE (May 27 1993)

Back to Top