Augmented reality based on estimation of defocusing and motion blurring from captured images
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
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The perceptual issues in Augmented Reality (AR) systems, is drawing more and more attention these days. Among the perceptual issues, the incorrect depth interpretations degrade user experience significantly. One way to improve the depth interpretations in AR systems is to improve the consistency of the real scene and the virtual objects by using the depth cue method based on blurring effect. In the research of [Okumura 2006], a blur rendering method based on measuring the defocusing on the AR marker from the captured real scene has been proposed. However, the blur effect could only be rendered on the marker position where the blur in the real scene is measured. This limits the practicality of the system since in many applications the virtual objects are out of the marker's range or even moving. In our work, a new method to estimate the degree of blur is proposed. This method makes it possible to calculate the degree of blur that varies spatially with the scene.