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» Analyzing Spatially-varying Blur
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IROS
2008
IEEE
247views Robotics» more  IROS 2008»
15 years 4 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
75
Voted
CHI
2005
ACM
14 years 11 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
15 years 3 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»
16 years 5 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
13 years 9 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