Title :
Device-independent representation of photometric properties of a camera
Author :
Lazarov, Maxim ; Majumder, Aditi
Author_Institution :
Dept. of Comput. Sci., Univ. of California, Irvine, CA, USA
Abstract :
In this paper we propose a compact device-independent representation of the photometric properties of a camera, especially the vignetting effect. This representation can be computed by recovering the photometric parameters at sparsely sampled device configurations (defined by aperture, focal length and so on). More importantly, this can then be used for accurate prediction of the photometric parameters at other new device configurations where they have not been measured.
Keywords :
cameras; image resolution; photometry; camera; device-independent representation; photometric parameter; photometric properties; sparsely sampled device configuration; vignetting effect; Apertures; Calibration; Cameras; Computer science; Layout; Page description languages; Parametric statistics; Photometry; Surveillance; Transfer functions;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-7029-7
DOI :
10.1109/CVPRW.2010.5543464