The Importance of Smoothness Constraints on Spectral Object Reflectances when Modeling Metamer Mismatching
Stiebel T, Merhof D (2017)
Publication Type: Conference contribution
Publication year: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2018-January
Pages Range: 2985-2992
Conference Proceedings Title: Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
Event location: Venice, ITA
ISBN: 9781538610343
Abstract
This paper analyzes the influence of multi-spectral imaging onto the severity of metamer mismatching, in particular in the context of color-accuracy of machine vision. Camera signals associated with simulated as well as real world multi-spectral imaging systems when viewing different objects under different lighting conditions were calculated. Based on the calculated camera signals, the associated MMBs were computed when changing towards the CIE standard observer under illuminant D65. The results show that an increased number ofchannels used in multi-spectral imaging systems do not necessarily decrease the severity of metamer mismatching. However, it is also shown that this is due to the limited capabilities of current image acquisition models which are not able to correctly compute a realistic MMB as they neglect any smoothness constraints on spectral object reflectances.
Involved external institutions
Germany (DE)How to cite
APA:
Stiebel, T., & Merhof, D. (2017). The Importance of Smoothness Constraints on Spectral Object Reflectances when Modeling Metamer Mismatching. In Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 (pp. 2985-2992). Venice, ITA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Stiebel, Tarek, and Dorit Merhof. "The Importance of Smoothness Constraints on Spectral Object Reflectances when Modeling Metamer Mismatching." Proceedings of the 16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017, Venice, ITA Institute of Electrical and Electronics Engineers Inc., 2017. 2985-2992.
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