FRESCO: Fast Radiometric Egocentric Screen Compensation

Matthew Post, Paul Fieguth, Mohamed A. Naiel, Zohreh Azimifar, Mark Lamm; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0


Existing radiometric compensation methods for projector-camera systems have been shown to produce compensated colours which are inconsistent to a human viewer. In this paper, a novel radiometric compensation method for projector-camera systems and textured surfaces is introduced based on the human visual system (HVS) colour response. The proposed method can extend established compensation methods to produce colours which are human-perceived to be correct (egocentric modelling). As a result, this method performs radiometric compensation which is not only consistent and precise, but also produces images which are visually accurate to an external colour reference. This method is shown to produce generally the lowest average radiometric compensation error when compared to compensation performed using only the response of a camera, demonstrated through quantitative analysis of compensated colours, and supported by qualitative results.

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author = {Post, Matthew and Fieguth, Paul and Naiel, Mohamed A. and Azimifar, Zohreh and Lamm, Mark},
title = {FRESCO: Fast Radiometric Egocentric Screen Compensation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}