Revisiting Gray Pixel for Statistical Illumination Estimation
Abstract
We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering. The method, called Mean Shifted Grey Pixel -- MSGP, is based on the observation: true-gray pixels are aligned towards one single direction. Our solution is compact, easy to compute and requires no training. Experiments on two real-world benchmarks show that the proposed approach outperforms state-of-the-art methods in the camera-agnostic scenario. In the setting where the camera is known, MSGP outperforms all statistical methods.
- Publication:
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arXiv e-prints
- Pub Date:
- March 2018
- DOI:
- 10.48550/arXiv.1803.08326
- arXiv:
- arXiv:1803.08326
- Bibcode:
- 2018arXiv180308326Q
- Keywords:
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- Computer Science - Computer Vision and Pattern Recognition
- E-Print:
- updated and will appear in VISSAP 2019 (long paper)