We address here the problem of perceptual colour histograms. The Riemannian structure of perceptual distances is measured through standards sets of ellipses, such as Macadam ellipses. We propose an approach based on local Euclidean approximations that enables to take into account the Riemannian structure of perceptual distances, without introducing computational complexity during the construction of the histogram.
CITATION STYLE
Chevallier, E., Farup, I., & Angulo, J. (2015). Histograms of images valued in the manifold of colours endowed with perceptual metrics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9389, pp. 762–769). Springer Verlag. https://doi.org/10.1007/978-3-319-25040-3_81
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