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BMVC
2010

Inferring Image Transformation and Structure from Motion-Blurred Images

10 years 4 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, we consider a fronto-parallel planar scene and relate the reference image of the scene to its motion-blurred observation by finding the reference image transformations. The blur kernel at every image point can be determined from these transformations. For 3D scenes, the extent of blurring in the image is related to the camera motion as well as the scene structure. We propose a technique to estimate the scene depth with the knowledge of the estimated image transformations. The proposed method is validated by testing on real and synthetic experiments.
Paramanand Chandramouli, Rajagopalan Ambasamudram
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where BMVC
Authors Paramanand Chandramouli, Rajagopalan Ambasamudram
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