Color constancy algorithms are typically evaluated with a statistical analysis of the recovery angular error and the reproduction angular error between the estimated and ground truth illuminants. Such analysis provides information about only the magnitude of the errors, and not about their chromatic properties. We propose an Angle-Retaining Chromaticity diagram (ARC) for the visual analysis of the estimated illuminants and the corresponding errors. We provide both quantitative and qualitative proof of the superiority of ARC in preserving angular distances compared to other chromaticity diagrams, making it possible to quantify the reproduction and recovery errors in terms of Euclidean distances on a plane. We present two case studies for the application of the ARC diagram in the visualization of the ground truth illuminants of color constancy datasets, and the visual analysis of error distributions of color constancy algorithms.

Buzzelli, M., Bianco, S., Schettini, R. (2020). ARC: Angle-retaining chromaticity diagram for color constancy error analysis. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION, 37(11), 1721-1730 [10.1364/JOSAA.398692].

ARC: Angle-retaining chromaticity diagram for color constancy error analysis

Buzzelli M.
;
Bianco S.;Schettini R.
2020

Abstract

Color constancy algorithms are typically evaluated with a statistical analysis of the recovery angular error and the reproduction angular error between the estimated and ground truth illuminants. Such analysis provides information about only the magnitude of the errors, and not about their chromatic properties. We propose an Angle-Retaining Chromaticity diagram (ARC) for the visual analysis of the estimated illuminants and the corresponding errors. We provide both quantitative and qualitative proof of the superiority of ARC in preserving angular distances compared to other chromaticity diagrams, making it possible to quantify the reproduction and recovery errors in terms of Euclidean distances on a plane. We present two case studies for the application of the ARC diagram in the visualization of the ground truth illuminants of color constancy datasets, and the visual analysis of error distributions of color constancy algorithms.
Articolo in rivista - Articolo scientifico
chromaticity diagram, color constancy, data visualization, illuminant estimation
English
8-ott-2020
2020
37
11
1721
1730
reserved
Buzzelli, M., Bianco, S., Schettini, R. (2020). ARC: Angle-retaining chromaticity diagram for color constancy error analysis. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION, 37(11), 1721-1730 [10.1364/JOSAA.398692].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/300036
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