A Flying Gray Ball Multi-illuminant Image Dataset for Color Research
For research in the field of illumination estimation and color constancy, there is a need for ground-truth measurement of the illumination color at many locations within multi-illuminant scenes. A practical approach to obtaining such ground-truth illumination data is presented here. The proposed method involves using a drone to carry a gray ball of known percent surface spectral reflectance throughout a scene while photographing it frequently during the flight using a calibrated camera. The captured images are then post-processed. In the post-processing step, machine vision techniques are used to detect the gray ball within each frame. The camera RGB of light reflected from the gray ball provides a measure of the illumination color at that location. In total, the dataset contains 30 scenes with 100 illumination measurements on average per scene. The dataset is available for download free of charge.
Document Type: Research Article
Affiliations: Simon Fraser University, Vancouver, B.C., Canada
Publication date: September 1, 2020
This article was made available online on September 30, 2020 as a Fast Track article with title: "A Flying Gray Ball Multi-illuminant Image Dataset for Color Research".
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