The Past and the Present of the Color Checker Dataset Misuse
| Autor: | Nikola Banic, Karlo Koscevic, Marko Subasic, Sven Lončarić |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Signal processing Color constancy Computer science Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology computer.software_genre Black level Color Checker dataset color constancy data misuse illumination estimation image enhancement white balancing 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Black level Data mining computer |
| Zdroj: | ISPA |
| DOI: | 10.48550/arxiv.1903.04473 |
| Popis: | The pipelines of digital cameras contain a part for computational color constancy, which aims to remove the influence of the illumination on the scene colors. One of the best known and most widely used benchmark datasets for this problem is the Color Checker dataset. However, due to the improper handling of the black level in its images, this dataset has been widely misused and while some recent publications tried to alleviate the problem, they nevertheless erred and created additional wrong data. This paper gives a history of the Color Checker dataset usage, it describes the origins and reasons for its misuses, and it explains the old and new mistakes introduced in the most recent publications that tried to handle the issue. This should, hopefully, help to prevent similar future misuses. Comment: 5 pages, 4 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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