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» Blur kernel estimation using the Radon Transform
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BMVC
2010
13 years 5 months ago
Inferring Image Transformation and Structure from Motion-Blurred Images
This paper deals with the problem of estimating structure of 3D scenes and image transformations from observations that are blurred due to unconstrained camera motion. Initially, ...
Paramanand Chandramouli, Rajagopalan Ambasamudram
CVPR
2005
IEEE
14 years 9 months ago
Radon-Based Structure from Motion without Correspondences
We present a novel approach for the estimation of 3Dmotion directly from two images using the Radon transform. We assume a similarity function defined on the crossproduct of two i...
Ameesh Makadia, Christopher Geyer, Shankar Sastry,...
ECCV
2000
Springer
14 years 9 months ago
Shape and Radiance Estimation from the Information-Divergence of Blurred Images
We formulate the problem of reconstructing the shape and radiance of a scene as the minimization of the information divergence between blurred images, and propose an algorithm that...
Paolo Favaro, Stefano Soatto
IJCV
2007
138views more  IJCV 2007»
13 years 7 months ago
Correspondence-free Structure from Motion
We present a novel approach for the estimation of 3D-motion directly from two images using the Radon transform. The feasibility of any camera motion is computed by integrating over...
Ameesh Makadia, Christopher Geyer, Kostas Daniilid...
CVPR
2008
IEEE
14 years 9 months ago
Robust dual motion deblurring
This paper presents a robust algorithm to deblur two consecutively captured blurred photos from camera shaking. Previous dual motion deblurring algorithms succeeded in small and s...
Jia Chen, Lu Yuan, Chi-Keung Tang, Long Quan