Pregled bibliografske jedinice broj: 754818
A Perceptual Measure of Illumination Estimation Error
A Perceptual Measure of Illumination Estimation Error // VISAPP 2015: Proceedings of the 10th International Conference on Computer Vision Theory and Applications - (Volume 1) / Braz, José ; Battiato, Sebastiano ; Imai, Francisco (ur.).
Berlin, Njemačka: Scitepress, 2015. str. 136-143 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 754818 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Perceptual Measure of Illumination Estimation Error
Autori
Banić, Nikola ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
VISAPP 2015: Proceedings of the 10th International Conference on Computer Vision Theory and Applications - (Volume 1)
/ Braz, José ; Battiato, Sebastiano ; Imai, Francisco - : Scitepress, 2015, 136-143
ISBN
978-989-758-089-5
Skup
10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Mjesto i datum
Berlin, Njemačka, 11.03.2015. - 14.03.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
color constancy ; illumination estimation ; image enhancement ; perception ; white balancing
Sažetak
The goal of color constancy is to keep colors invariant to illumination. An important group of color constancy methods are the global illumination estimation methods. Numerous such methods have been proposed and their accuracy is usually described by using statistical descriptors of illumination estimation angular error. In order to demonstrate some of their fallacies and shortages, a very simple learning-based global illumination estimation dummy method is designed for which the values of statistical descriptors of illumination estimation error can be interpreted in contradictory ways. To resolve the paradox, a new performance measures is proposed that focuses on perceptual difference between different illumination estimation errors. The effect of ground-truth illumination distribution of the benchmark datasets on method evaluation is also demonstrated.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb