By Kaiming He, Jian Sun, Xiaoou Tang (auth.), Kostas Daniilidis, Petros Maragos, Nikos Paragios (eds.)
The 2010 variation of the ecu convention on computing device imaginative and prescient was once held in Heraklion, Crete. the decision for papers attracted an absolute checklist of 1,174 submissions. We describe the following the choice of the approved papers: ? Thirty-eight region chairs have been chosen coming from Europe (18), united states and Canada (16), and Asia (4). Their choice was once in response to the subsequent standards: (1) Researchers who had served not less than twice as quarter Chairs in the previous years at significant imaginative and prescient meetings have been excluded; (2) Researchers who served as region Chairs on the 2010 machine imaginative and prescient and trend attractiveness have been additionally excluded (exception: ECCV 2012 software Chairs); (3) Minimization of overlap brought by means of zone Chairs being former scholar and advisors; (4) 20% of the realm Chairs had by no means served earlier than in an enormous convention; (5) the world Chair choice procedure made all attainable efforts to accomplish an inexpensive geographic distribution among international locations, thematic components and traits in computing device imaginative and prescient. ? every one region Chair was once assigned by means of this system Chairs among 28–32 papers. in response to paper content material, the world Chair prompt as much as seven strength reviewers consistent with paper. Such task was once made utilizing all reviewers within the database together with the conflicting ones. this system Chairs manually entered the lacking clash domain names of roughly three hundred reviewers. in accordance with the advice of the world Chairs, 3 reviewers have been chosen in keeping with paper (with a minimum of one being of the pinnacle 3 suggestions), with 99.
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Additional info for Computer Vision – ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I
We present an image-compositing technique tolerant to selection inaccuracies. In this example, a user wishes to add trees to an image of the Egyptian pyramids, but it is not possible to select the trees without cutting through the foliage (a). Moreover, to ensure a good insertion behind the pyramids, it is not possible to modify the selection boundary. A direct copy of the pixels yields a undesirable visible seam (b). Standard gradient-domain compositing minimizes the seam, but leads to bleeding artifacts where the foliage is cut (c).
Removing camera shake from a single photograph. In: SIGGRAPH ’06, pp. 787–794 (2006) 16. : Rotational motion deblurring of a rigid object from a single image. In: ICCV 2007, pp. 1–8 (2007) 17. : Invertible motion blur in video. ACM Trans. Graph. 28, 1–8 (2009) 18. : Motion-based motion deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 26, 689–698 (2004) 19. : A hybrid camera for motion deblurring and depth map super-resolution. In: CVPR, pp. 1–8 (2008) 20. : Image/video deblurring using a hybrid camera.
01. We then deblur it using our motion estimation algorithm, with constant acceleration. 805), the resulting deblurred results contain strong ringing artifacts. Using the recovered motion parameter, we apply the random search scheme as in  to ﬁnd the optimal ﬂutter shutter sequence. The new FS-PSF is shown in Fig. 8(d). Compared with the old FS-PSF, it maintains large values at all frequencies. 01. Finally, we apply our power spectrum statistics method to recover the motion parameter and obtain a new deblurred image as shown in (h).