Proceedings ArticleDOI
Inferring Plane Orientation from a Single Motion Blurred Image
M. Purnachandra Rao,A. N. Rajagopalan,Guna Seetharaman +2 more
- pp 2089-2094
TLDR
The proposed method can accurately infer the normal of the planar surface by leveraging the homography relationship among image coordinates of 3D points lying on a plane and exploiting natural correspondences among the extremities of the blur kernels derived from the motion blurred observation.Abstract:
We present a scheme for recovering the orientation of a planar scene from a single translation ally-motion blurred image. By leveraging the homography relationship among image coordinates of 3D points lying on a plane, and by exploiting natural correspondences among the extremities of the blur kernels derived from the motion blurred observation, the proposed method can accurately infer the normal of the planar surface. We validate our approach on synthetic as well as real planar scenes.read more
Citations
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Proceedings ArticleDOI
From Local to Global: Edge Profiles to Camera Motion in Blurred Images
Subeesh Vasu,A. N. Rajagopalan +1 more
TL;DR: This work investigates the relation between the edge profiles present in a motion blurred image and the underlying camera motion responsible for causing the motion blur and incorporates a suitably derived constraint from edge profiles into an existing blind deblurring framework and demonstrates improved restoration performance.
Posted Content
Planar Geometry and Latest Scene Recovery from a Single Motion Blurred Image
TL;DR: An approach for estimation of normal of a planar scene from a single motion blurred observation and a first-of-its-kind approach to recover the planar geometry and latent image of the scene by adopting an alternating minimization framework built on the findings.
Journal Article
Unfolding a blurred image
TL;DR: This work first learns motion representation from sharp videos in an unsupervised manner through training of a convolutional recurrent video autoencoder network that performs a surrogate task of video reconstruction that outperforms competing methods across all factors: accuracy, speed, and compactness.
Proceedings ArticleDOI
Tapping motion blur for robust normal estimation of planar scenes
TL;DR: A framework for robust estimation of normal of a planar scene from a single motion blurred observation is proposed and how feature points can be extracted from blur kernels and matched to generate several point correspondences is revealed.
Proceedings ArticleDOI
Cueing motion blur for registration of inclined planar scenes
TL;DR: This work extends the state-of-the-art by cueing motion blur itself to infer plane inclination by matching extremities of blur kernels computed at different locations in the image by showing that it is possible to find the orientation.
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