11 Tarek A. Haila Computer Vision News consequently leading to colorcorrelated temperature (CCT) variations and resulting in color difference 3.5 < DE00 < 8.0 and a worst-case scenario shift of 360 Kelvin in CCT. For the third research question, Tarek faced two challenges: dealing with highly reflective materials despite using CPF, as well as addressing the issue that comes with small field of view (FOV) of the camera when using a Macro lens and a short focal distance while aspiring for highprecision color calibration model that requires a large color target that does not fit in such a small FOV. The novel mosaic stitching approach, he came up with, overcomes the constraint and size limitation for matching a color target to a specific lens FOV and/or focal distance, enabling a more accurate color calibration model. Furthermore, this method resolves the issue of handling highly reflective materials by consistently extracting and selecting only the clean, clear, and sharp parts of any scanned surface, similar to how texture atlases and UV maps work in 3D, paving the way for 3D color calibration. Congrats, Doctor Tarek! Many thanks to Arjan Kuijper for making the contact!
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