Revisiting gray pixel for statistical illumination estimation
Qian, Yanlin; Pertuz, Said; Nikkanen, Jarno; Kämäräinen, Joni-Kristian; Matas, Jiri (2019)
Qian, Yanlin
Pertuz, Said
Nikkanen, Jarno
Kämäräinen, Joni-Kristian
Matas, Jiri
Teoksen toimittaja(t)
Kerren, Andreas
Hurter, Christophe
Braz, Jose
SCITEPRESS
2019
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201908282042
https://urn.fi/URN:NBN:fi:tty-201908282042
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [19011]