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  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.
Tarek Stiebel, Dorit Merhof, "A Robust Algorithm for Computing Boundary Points of the Metamer Mismatch Body" in Proc. IS&T 26th Color and Imaging Conf., 2018, pp 134 - 139, https://doi.org/10.2352/ISSN.2169-2629.2018.26.134