Projection mapping, a spatial augmented reality technology that changes the appearance of an object by projecting images using a projector, has become widespread. We have achieved projection mapping on moving objects by estimating the position and orientation of the object by mapping the contour of the object acquired with an infrared camera to the contour of a 3D model acquired in advance. However, when the contour of the object is occluded, the estimation accuracy is degraded, which is a problem for precise projection mapping. In this study, we propose robust estimation of position and orientation by using distortion information of the projected image caused by the motion of the target object in addition to the contour. The projection distortion is reproduced in the simulation environment, and the estimated accuracy of the position and orientation is evaluated.
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