Sensitivity curve approximation using linear algebra

Paulus D, Hong V, Idler C, Hornegger J, Csink L (2004)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2004

Original Authors: Paulus D., Hong V., Idler C., Hornegger J., Csink L.

Book Volume: null

Pages Range: 207-212

Event location: Aachen

Journal Issue: null

URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-12344277504&origin=inward

Abstract

Calibration of color cameras requires that a calibration pattern is recorded and color responsivity curves are estimated from the recorded data. Very often, these curves are sampled at discrete wave-length, so that the calibration problem can be written as a system of linear equations. The solution of the - usually overdetermined- problem is subject to a constrained optimization problem, as these curves need to have a certain shape. In this article we apply different methods to incorporate constraints into the estimation problem while still keeping the problem linear.

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APA:

Paulus, D., Hong, V., Idler, C., Hornegger, J., & Csink, L. (2004). Sensitivity curve approximation using linear algebra. In Proceedings of the CGIV 2004 - Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science (pp. 207-212). Aachen.

MLA:

Paulus, Dietrich, et al. "Sensitivity curve approximation using linear algebra." Proceedings of the CGIV 2004 - Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science, Aachen 2004. 207-212.

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