Multi-projection technology, utilized for creating visual effects across a wide area, requires measurement of the projection space, determination of the position of each projector, and correction of the distortion of the projected image caused by the projection surface. These calibration tasks require time and effort, making their easy achievement challenging. In this study, we propose an automated multi-projection system that uses calibrated integrated ProCam units, consisting of projectors and cameras, in an indoor space with unknown geometry. Due to the 3D measurement of the projection surface for geometric correction is performed with high accuracy and dense point cloud, rendering using the point cloud data reduces the rendering speed. To balance rendering speed and geometric correction accuracy, we propose a rendering method that combines point cloud and plane polygons, which is specialized for indoor spaces characterized by flat features.
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Haneda et al. (2024) studied this question.
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