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A Gaussian Process Model for Color Camera Characterization: Assessment in Outdoor Levantine Rock Art Scenes

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A Gaussian Process Model for Color Camera Characterization: Assessment in Outdoor Levantine Rock Art Scenes

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Molada-Tebar, A.; Riutort-Mayol, G.; Marqués-Mateu, Á.; Lerma, JL. (2019). A Gaussian Process Model for Color Camera Characterization: Assessment in Outdoor Levantine Rock Art Scenes. Sensors. 19(21):1-22. https://doi.org/10.3390/s19214610

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Title: A Gaussian Process Model for Color Camera Characterization: Assessment in Outdoor Levantine Rock Art Scenes
Author: Molada-Tebar, Adolfo Riutort-Mayol, Gabriel Marqués-Mateu, Ángel Lerma, José Luis
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
[EN] In this paper, we propose a novel approach to undertake the colorimetric camera characterization procedure based on a Gaussian process (GP). GPs are powerful and flexible nonparametric models for multivariate nonlinear ...[+]
Subjects: Cultural heritage , Camera characterization , Polynomial regression , Gaussian processes , Colorimetry , CIE color spaces , Noise analysis
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s19214610
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s19214610
Project ID:
info:eu-repo/grantAgreement/UPV//PAID-01-16/
Thanks:
This research is partly funded by the Research and Development Aid Program PAID-01-16 of the Universitat Politecnica de Valencia, through FPI-UPV-2016 Sub 1 grant.
Type: Artículo

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