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pro vyhledávání: '"Finlayson, Graham D."'
Publikováno v:
In Pattern Recognition October 2024 154
Autor:
Zhu, Yuteng, Finlayson, Graham D.
In previous work, it was shown that a camera can theoretically be made more colorimetric - its RGBs become more linearly related to XYZ tristimuli - by placing a specially designed color filter in the optical path. While the prior art demonstrated th
Externí odkaz:
http://arxiv.org/abs/2201.11700
Publikováno v:
In Ecological Informatics July 2024 81
Autor:
Zhu, Yuteng, Finlayson, Graham D.
In this paper, we present the detailed mathematical derivation of the gradient and Hessian matrix for the Vora-Value based colorimetric filter optimization. We make a full recapitulation of the steps involved in differentiating the objective function
Externí odkaz:
http://arxiv.org/abs/2009.13696
Autor:
Zhu, Yuteng, Finlayson, Graham D.
The Luther condition states that if the spectral sensitivity responses of a camera are a linear transform from the color matching functions of the human visual system, the camera is colorimetric. Previous work proposed to solve for a filter which, wh
Externí odkaz:
http://arxiv.org/abs/2005.06421
Autor:
Finlayson, Graham D., Zhu, Yuteng
When we place a colored filter in front of a camera the effective camera response functions are equal to the given camera spectral sensitivities multiplied by the filter spectral transmittance. In this paper, we solve for the filter which returns the
Externí odkaz:
http://arxiv.org/abs/2003.12645
Autor:
Lin, Yi-Tun, Finlayson, Graham D.
Recently Convolutional Neural Networks (CNN) have been used to reconstruct hyperspectral information from RGB images. Moreover, this spectral reconstruction problem (SR) can often be solved with good (low) error. However, these methods are not physic
Externí odkaz:
http://arxiv.org/abs/2001.00558
Akademický článek
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Publikováno v:
Vol. 36, No. 1 / Jan 2019 / Journal of the Optical Society of America A
In this paper, we propose two methods of calculating theoretically maximal metamer mismatch volumes. Unlike prior art techniques, our methods do not make any assumptions on the shape of spectra on the boundary of the mismatch volumes. Both methods ut
Externí odkaz:
http://arxiv.org/abs/1901.08419
Autor:
Hemrit, Ghalia, Finlayson, Graham D., Gijsenij, Arjan, Gehler, Peter, Bianco, Simone, Funt, Brian, Drew, Mark, Shi, Lilong
Publikováno v:
Color and Imaging Conference, 2018
In a previous work, it was shown that there is a curious problem with the benchmark ColorChecker dataset for illuminant estimation. To wit, this dataset has at least 3 different sets of ground-truths. Typically, for a single algorithm a single ground
Externí odkaz:
http://arxiv.org/abs/1805.12262