Projection systems can be used to implement augmented reality [2,6], as well as to create both displays and interfaces on ordinary surfaces [4,5]. Ordinary surfaces have varying reflectance, color, and geometry. Current methods [1,3,7] use a camera to account for these variations, but are fundamentally limited since they assume the camera, projector, and scene are static. In this video, we describe a technique for photometrically adaptive projection that makes it possible to handle a dynamic environment. We begin by presenting a co-axial projector-camera system. It consists of a camera and beam splitter, which attaches to an off-the-shelf projector. The co-axial design makes geometric calibration scene-independent. To handle photometric changes, our method uses the errors between the desired and measured appearance of the projected image. A key novel aspect of our algorithm is that we combine a physics-based model with dynamic feedback to achieve real time adaptation to the changing environment.
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