  With the use of primaries which have increasingly narrow bandwidths in modern
displays, observer metameric breakdown is becoming a significant factor. This
can lead to discrepancies in the perceived color between different observers.
If the spectral sensitivity of a user's eyes could be easily measured, next
generation displays would be able to adjust the display content to ensure that
the colors are perceived as intended by a given observer. We present a
mathematical framework for calculating spectral sensitivities of a given human
observer using a color matching experiment that could be done on a mobile phone
display. This forgoes the need for expensive in-person experiments and allows
system designers to easily calibrate displays to match the user's vision,
in-the-wild. We show how to use sRGB pixel values along with a simple display
model to calculate plausible color matching functions (CMFs) for the users of a
given display device (e.g., a mobile phone). We evaluate the effect of
different regularization functions on the shape of the calculated CMFs and the
results show that a sum of squares regularizer is able to predict smooth and
qualitatively realistic CMFs.
