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» Analyzing Spatially-varying Blur
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IROS
2008
IEEE
247views Robotics» more  IROS 2008»
14 years 2 months ago
Automatic detection of checkerboards on blurred and distorted images
— Most of the existing camera calibration toolboxes require the observation of a checkerboard shown by the user at different positions and orientations. This paper presents an al...
Martin Rufli, Davide Scaramuzza, Roland Siegwart
CHI
2005
ACM
13 years 9 months ago
Effects of display blurring on the behavior of novices and experts during program debugging
The Restricted Focus Viewer (RFV) relates a small part of an otherwise blurred display to the focus of visual attention. A user controls which part of the screen is in focus by us...
Roman Bednarik, Markku Tukiainen
CVPR
2005
IEEE
14 years 1 months ago
A Slit Scanning Depth of Route Panorama from Stationary Blur
This work achieves an efficient acquisition of scenes and their depths along streets. During the movement of a vehicle, a slit in the camera frame is set properly to sample scenes...
Min Shi, Jiang Yu Zheng
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...
ICCV
2011
IEEE
12 years 7 months ago
Handling Outliers in Non-Blind Image Deconvolution
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Sunghyun Cho, Jue Wang, Seungyong Lee