Large-scale multi-projector display systems offer high resolution

high brightness

a large field of view

and a compelling sense of presence. Thus

these systems have been considered effective choices to tackle the conflict between the increasing demands for super-resolution display and the resolution limitations of single display equipment. However

the display color and brightness of these systems show significant spatial variation

which can be very distracting

there by breaking the illusion of a single display. Furthermore

the use of the rear projection mode has serious an isotropy problems; in particular

the brightness of the projected image varies in accordance with the location of the observer. In this paper

we propose an effective solution to solve the an isotropy problem of rear-projection multi-projector tiled display walls. Our solution includes two levels:static and dynamic optimal observation districts. The static optimal observation district method is focused on situations with a small amount of audience who only moves in a small area. Geometry and color calibrations are executed in accordance with a predetermined observation point by utilizing an information processing model of human attention. Subsequently

observers in the neighborhood of the observation point can see calibrated images with highly visual seamless effects.To relax the restrictions of the moving range

we present an observer-centered framework for the dynamic optimal observation district by integrating human tracking techniques and fuzzy predictive control algorithms. In this framework

we first optimize the process of creating projector models and color look-up tables. The cente positions of the target observer are then computed viavideo-based object tracking. Finally

fuzzy predictive control algorithms are used to deal with the positions to create step-shaped coordinates for the human body center

there by minimizing the need to adjust the brightness compensation and to speed up the screen calibration. The conventional color calibration methods only work well for certain special positions before the display surface because the color calibration results

which are usually organized as a color look-up table

are obtained off line and the audience's positions are not considered. Extending these methods

we introduce the static optimal observation district method

which allows users to preset an observation point. Furthermore

we allow the user to set the observation point online by capturing the observer's positionsin real-time.To test our methods

a screen calibration system for a rear-projection multi-projector tiled display wall is presented on the basis of the dynamic optimal observation district. Experimental results show that calibration methods with a dynamic optimal observation district have good robustness and high calibration efficiency.Therefore

our algorithm generally obtains better calibration results than other similar methods. Rear-projection multi-projector tiled display walls can be used in several applications. Anisotropy during color calibration has always been a challenge to researchers. This paper introduces the real-time feed back mechanism and proposes a novel dynamic strategy for solving anisotropy problems. The proposed solution can reduce the adverse effects of anisotropy on screen calibration and greatly improve the output image. The experimental results indicate that our solution has a preferable calibration effect even insituations with large-scale movements and has acceptable real-time calculations.