A depth cue method based on blurring effect in augmented reality

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In this paper, a depth cue method based on blurring effect in augmented reality is proposed. Distinguished from the previous researches, the proposed method offers an algorithm which, based on the spatial information in the real world and the intrinsic parameters of the camera, estimates the blurring effect in the whole scene. Through one-time checkerboard calibration, the camera parameters are registered, the value of the Point Spread Function parameters is measured and the blur circle radius on a particular position could be predicted for later virtual object rendering. The measurement procedure of the blur circle radius and the estimation algorithm are discussed. A prototype of the proposed AR system is implemented. In the end, an evaluation of the blur circle radius estimation algorithm is provided and the future work of the research is discussed.

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