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ISMAR
2006
IEEE
13 years 10 months 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 ...
Bunyo Okumura, Masayuki Kanbara, Naokazu Yokoya
ICIP
2002
IEEE
13 years 9 months ago
Estimation of camera planar motion from blurred images
The topic of the paper is to estimate parameters of the camera motion using images taken at initial and current positions of the camera. An original method handling defocused imag...
Barbara Zitová, Jan Flusser
CVPR
2007
IEEE
14 years 6 months ago
Estimating Scale of a Scene from a Single Image Based on Defocus Blur and Scene Geometry
Using an imaging system in which the image plane can be tilted with respect to the optical axis of the lens, the image of a large-scale scene that appears to be a miniature to hum...
Takayuki Okatani, Koichiro Deguchi
ISMAR
2007
IEEE
13 years 10 months ago
Precise Geometric Registration by Blur Estimation for Vision-based Augmented Reality
This paper proposes an accurate geometric registration method by estimating blur effects from a degraded image with image markers for augmented reality. A small and inexpensive ca...
Bunyo Okumura, Masayuki Kanbara, Naokazu Yokoya
CVPR
2008
IEEE
14 years 6 months ago
PSF estimation using sharp edge prediction
Image blur is caused by a number of factors such as motion, defocus, capturing light over the non-zero area of the aperture and pixel, the presence of anti-aliasing filters on a c...
Neel Joshi, Richard Szeliski, David J. Kriegman