1. A method for calibrating an image display system comprising a plurality of projectors oriented in the direction of an image projection screen and at least one calibration camera, comprising: capturing, via the calibration camera, k distinct images of the image projection screen; all projectors contributing to each captured image render a set of fiducials captured by the calibration camera; computing a global set of points corresponding to all k different camera image points using information including one or both of relative positions of the cameras and the shape of a cannonical surface approximating the projection screen, wherein the set of points observed in the k camera views is represented as a global set of points with a known neighborhood function that defines their relative distances; matching the points with projected fiducials to generate a set of corresponding match points, wherein the set of observed points in different camera views are represented as a set of global points with a known neighborhood function; modeling the global set of points as a constraint system such that the error distance between two points observed in two different camera views is computed based on a distance metric between the first point, as seen in the second view, and the second point, as seen in that same view; and adjusting, according to an error metric that minimizes the total error represented in the constraint system, points that correspond to the same projector location but which have different computed locations in the global set of points.