Scalable and view-independent calibration of multi-projector display for arbitrary uneven surfaces

Autor: Shahaboddin Askarian Bajestani, Shayan Nalbandian, Hamid Reza Pourreza
Rok vydání: 2019
Předmět:
Zdroj: Machine Vision and Applications. 30:1191-1207
ISSN: 1432-1769
0932-8092
Popis: Most existing systems for calibrating multi-projector display suffered from several important limitations such as dependence on point of view, restriction on the display surface and moreover the number of projectors and using obtrusive markers. In this paper, a new method for view-independent calibration for multi-projector displays is presented. Given that the calibration problem of a multi-projector display is an optimization problem, we compute the calibration parameters by writing the appropriate energy functions for the geometric calibration phase. In this method, the camera and projector are introduced as a pair. In the first step, calibration of the pair of camera and projector was carried out. After that, the calibration problem of the system decreases to estimation of the number of camera positions relative to each other. In this method, there is no particular shape for the screen. In addition, due to the 3D shape of the screen, this method is view independent and eventually the image can be wallpapered on the screen. According to the tests carried out to evaluate the system, the accuracy of the proposed system is sub-pixel, and as a result, no misalignment is observed by the human eye in the overlapping area of projectors.
Databáze: OpenAIRE
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