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Experiencing
Participants
Summary
As well as being interested in computer vision systems the colour & imaging lab investigates how we ourselves see and, moreover, we study the interplay between machine and human vision (often it is important that vision systems solve problems like we do). Developing a representation of the colour of common lights we need to understands the physics of light formation and the human visual response [1]. The simply-posed problem of finding clusters of colours in images has depth and complexity because in many applications we seek the important colours that we see [2]. Finally, we have an enduring interest in developing systems that see colours like we do [3].
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Funding
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Partners
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Publications
[1] E. Daneshvar, G.D. Finlayson and M.H. Brill, "Introducing a temperature adjustment to make Wien’s law a more accurate approximation of Planckian blackbody radiation in the visible range", Optics Express 33 (5), 11956-11971, 2025.
[2] S Westland, G Finlayson, P Lai, Q Pan, J Yang, Y Chen. "A computational method for predicting color palette discriminability", Color Research & Application 49 (5), 465-473, 2024.
[3] G.D. Finlayson, M. Mackiewicz, A. Hurlbert. "Color correction using root-polynomial regression", IEEE Transactions on Image Processing 24 (5), 1460-1470, 2015.