A robust algorithm for computing boundary points of the metamer mismatch body
Stiebel T, Merhof D (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Society for Imaging Science and Technology
Book Volume: 2018-November
Pages Range: 134-139
Conference Proceedings Title: Final Program and Proceedings - IS and T/SID Color Imaging Conference
Event location: Vancouver, BC, CAN
ISBN: 9780892083374
DOI: 10.2352/issn.2169-2629.2018.26.134
Abstract
Metamer mismatching is a challenging element of both human and machine color vision. In this work, the theory yielding the description of the metamer mismatch body proposed by Logvinenko [1] is revisited. An algorithm is proposed capable of robustly solving the original equations which precisely describe the boundary of the metamer mismatch body. Additionally and in contrast to before, the requirement for illuminants to be strictly positive is suspended. This is achieved by no longer associating boundary points of the metamer mismatch body with optimal reflectance functions. The algorithm has been abstracted to deal with sensors of arbitrary dimensionality, making it applicable to multi-spectral imaging.
Involved external institutions
Germany (DE)How to cite
APA:
Stiebel, T., & Merhof, D. (2018). A robust algorithm for computing boundary points of the metamer mismatch body. In Final Program and Proceedings - IS and T/SID Color Imaging Conference (pp. 134-139). Vancouver, BC, CAN: Society for Imaging Science and Technology.
MLA:
Stiebel, Tarek, and Dorit Merhof. "A robust algorithm for computing boundary points of the metamer mismatch body." Proceedings of the 26th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2018, Vancouver, BC, CAN Society for Imaging Science and Technology, 2018. 134-139.
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