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2006
IEEE

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

12 years 19 days ago
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. CR Categories: H.5.1 [Information interfaces and presentation]: Multimedia Information Systems—Artificial, augmented, and virtual r...
Bunyo Okumura, Masayuki Kanbara, Naokazu Yokoya
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where ISMAR
Authors Bunyo Okumura, Masayuki Kanbara, Naokazu Yokoya
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