Identification of blur parameters from motion blurred images
Graphical Models and Image Processing
Restoring Images Degraded by Spatially Variant Blur
SIAM Journal on Scientific Computing
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Vehicle Speed Detection and Identification from a Single Motion Blurred Image
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Depth Recovery from Motion Blurred Images
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Corner Displacement from Motion Blur
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Variational deblurring of images with uncertain and spatially variant blurs
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Differentiation of discrete multidimensional signals
IEEE Transactions on Image Processing
Space-Variant Restoration of Images Degraded by Camera Motion Blur
IEEE Transactions on Image Processing
Shape from Sharp and Motion-Blurred Image Pair
International Journal of Computer Vision
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We propose an algorithm for estimating the 3D motion direction of a camera that undergoes a pure translation. This algorithm exploits a single blurred image, and recovers the 3D translation direction thanks to an accurate analysis of the motion blur, which is characterized by rectilinear smears whose directions and extents typically vary throughout the image. The core of our algorithm is the estimation of the direction of these smears within small image regions that are automatically selected according to the image content. The algorithm has been successfully tested on camera images and extensively validated with different amount of noise in the images.