TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Revisiting gray pixel for statistical illumination estimation

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoVISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
ToimittajatAndreas Kerren, Christophe Hurter, Jose Braz
KustantajaSCITEPRESS
Sivut36-46
Sivumäärä11
ISBN (elektroninen)9789897583544
DOI - pysyväislinkit
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Computer Vision Theory and Applications - Prague, Tshekki
Kesto: 25 helmikuuta 201927 helmikuuta 2019

Conference

ConferenceInternational Conference on Computer Vision Theory and Applications
MaaTshekki
KaupunkiPrague
Ajanjakso25/02/1927/02/19

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.