SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Image Motion Estimation From Motion Smear-A New Computational Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2004 Papers
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
Actions Sketch: A Novel Action Representation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Robust Structure and Motion from Outlines of Smooth Curved Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
A Closed Form Solution to Natural Image Matting
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Depth Recovery from Motion Blurred Images
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Ball Position and Motion Reconstruction from Blur in a Single Perspective Image
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
IEEE Transactions on Image Processing
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing
Drawing Motion without Understanding It
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Shape from Sharp and Motion-Blurred Image Pair
International Journal of Computer Vision
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An object which moves during the exposure time results in a blurred smear in the image. We consider the smear as if it was the image of a semitransparent object, and we retrieve its alpha matte by means of known techniques. The alpha value at a pixel is meaningfully interpreted as the fraction of the exposure time during which the object projection overlapped that pixel.Basing on this fact, our work highlights interesting qualitative and quantitative properties of the alpha matte, which can be used to derive constraints on the object's apparent contour, and its motion during the exposure time, from a single motion-blurred image; we also show that some of these properties hold on the original image.The theory is validated with experimental results both on synthetic and real images, highlighting strengths and limitations; we point out a range of possible applications, including blurred image interpretation, temporal superresolution of object contours, model-based reconstruction of nontrivial motion, and improvements of alpha matting techniques.