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Author Dellepiane, M. ♦ Callieri, M. ♦ Corsini, M. ♦ Cignoni, P. ♦ Scopigno, R.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Geometry acquisition and processing ♦ Color mapping ♦ Out-of-core data management
Abstract Flash light of digital cameras is a very useful way to picture scenes with low-quality illumination. Nevertheless, especially in low-end cameras integrated flash lights are considered as not reliable for high-quality images, due to known artifacts (sharp shadows, highlights, uneven lighting) generated in images. Moreover, a mathematical model of this kind of light is difficult to create. In this article we present a color correction space which, given some information about the geometry of the pictured scene, is able to provide a space-dependent color correction for each pixel of the image. The correction space can be calculated once in a lifetime using a quite fast acquisition procedure; after 3D spatial calibration, the obtained color correction function can be applied to every image where flash is the dominant light source. We developed this approach to produce better color samples in the application framework of color mapping on 3D scanned models. The correction space proposed presents several advantages: it is independent from the kind of light used (provided that it is bound to the camera), it gives the possibility to correct some artifacts (for example, color deviation) introduced by flash light, and it has a wide range of possible applications, from image enhancement to material color estimation. Moreover, once that the inverse photo-to-geometry transformation is known, it allows the easy estimation of the flash light position and permits to identify and remove other annoying artifacts, like highlights and shadows. The resulting approach allows to gather in an easy manner a better and more consistent color information and to produce higher-quality 3D models.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-03-03
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 2
Issue Number 4
Page Count 20
Starting Page 1
Ending Page 20

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Source: ACM Digital Library