DocumentCode
2962348
Title
Color calibration of multi-projector displays through automatic optimization of hardware settings
Author
Steele, R Matt ; Mao Ye ; Ruigang Yang
Author_Institution
Center for Visualization & Virtual Environments, Univ. of Kentucky, Lexington, KY, USA
fYear
2009
fDate
20-25 June 2009
Firstpage
55
Lastpage
60
Abstract
We describe a system that performs automatic, camera-based photometric projector calibration by adjusting hardware settings (e.g. brightness, contrast, etc.). The approach has two basic advantages over software-correction methods. First, there is no software interface imposed on graphical programs: all imagery displayed on the projector benefits from the calibration immediately, without render-time overhead or code changes. Secondly, the approach benefits from the fact that projector hardware settings typically are capable of expanding or shifting color gamuts (e.g. trading off maximum brightness versus darkness of black levels), something that software methods, which only shrink gamuts, cannot do. In practice this means that hardware settings can possibly match colors between projectors while maintaining a larger overall color gamut (e.g. better contrast) than software-only correction can. The prototype system is fully automatic. The space of hardware settings is explored by using a computer-controlled universal remote to navigate each projector´s menu system. An off-the-shelf camera observes each projector´s response curves. A cost function is computed for the curves based on their similarity to each other, as well as intrinsic characteristics, including color balance, black level, gamma, and dynamic range. An approximate optimum is found using a heuristic combinatoric search. Results show significant qualitative improvements in the absolute colors, as well as the color consistency, of the display.
Keywords
calibration; colour displays; optimisation; search problems; user interfaces; automatic camera-based photometric projector calibration; automatic hardware setting optimization; black level; color balance; color calibration; computer-controlled universal remote; cost function; dynamic range; graphical program; heuristic combinatoric search; intrinsic characteristics; menu system; multiprojector display; software-correction method; Brightness; Calibration; Color; Displays; Hardware; Navigation; Photometry; Prototypes; Rendering (computer graphics); Software prototyping;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location
Miami, FL
ISSN
2160-7508
Print_ISBN
978-1-4244-3994-2
Type
conf
DOI
10.1109/CVPRW.2009.5204322
Filename
5204322
Link To Document