
handle: 11311/240814
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. Our work is focused on the qualitative and quantitative analysis of the alpha matte: in particular, we show that the alpha value at a pixel represents the fraction of the exposure time during which the object image overlapped that pixel; then, we prove that the alpha matte enjoys a number of properties, which can be used to derive constraints on the object's apparent contour, and its motion, from a single motion-blurred image. We show that some of these properties also hold on the original image. We point out possible applications, and experimental results both on synthetic and real finite-exposure images.
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
