Augmented reality based on estimation of defocusing and motion blurring from captured images

Photometric registration is as important as geometric registration to generate a seamless augmented reality scene. Especially the difference in image quality between a real image and virtual objects caused by defocusing and motion blurring in capturing a real scene image easily exhibits the seam between real and virtual worlds. To avoid this problem in video see-through augmented reality, it is necessary to simulate the optical system of camera when virtual objects are rendered. This paper proposes an image composition method for video see-through augmented reality, which is based on defocusing and motion blurring estimation from the captured real image and rendering of virtual objects with blur effects. In experiments, the effectiveness of the proposed method is confirmed by comparing a real image with virtual objects rendered by the proposed method.