Computer Vision – ECCV 2010: 11th European Conference on - download pdf or read online

By Andrej Mikulík, Michal Perdoch, Ondřej Chum, Jiří Matas (auth.), Kostas Daniilidis, Petros Maragos, Nikos Paragios (eds.)

ISBN-10: 3642155480

ISBN-13: 9783642155482

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ISBN-10: 3642155545

ISBN-13: 9783642155543

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The 2010 variation of the eu convention on machine imaginative and prescient used to be held in Heraklion, Crete. the decision for papers attracted an absolute checklist of 1,174 submissions. We describe right here 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 used to be in keeping with the subsequent standards: (1) Researchers who had served a minimum of twice as region Chairs in the prior years at significant imaginative and prescient meetings have been excluded; (2) Researchers who served as sector Chairs on the 2010 desktop imaginative and prescient and development reputation have been additionally excluded (exception: ECCV 2012 software Chairs); (3) Minimization of overlap brought via region Chairs being former pupil and advisors; (4) 20% of the realm Chairs had by no means served earlier than in an immense convention; (5) the realm Chair choice method made all attainable efforts to accomplish a cheap geographic distribution among nations, thematic parts and developments in machine imaginative and prescient. every one region Chair was once assigned by way of this system Chairs among 28–32 papers. in response to paper content material, the world Chair prompt as much as seven power reviewers according to paper. Such project used to be 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 response to the advice of the world Chairs, 3 reviewers have been chosen in keeping with paper (with at the least 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 III

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We adopt a similar approach to [26] that finds the direction with most muted high frequencies. , the power spectrum distribution along all directions have similar characteristics (variance, mean values). Since 1D motion blur attenuates the middle- and high-frequency information in the direction of motion, it amounts to a detection of a direction in which they are most muted. We do this by inspecting the Radon-power spectrum of the blurred image in all directions and choosing the one with the maximal variance.

McCloskey, and J. Yu Fig. 6. FS-PSF Estimation and Deblurring Results on Constant Accelerations. A toy car sliding down a slanted track at 55◦ . The camera is rotated so that the motion appears horizontal. For clarity, a textured cardboard was attached to the car. (a): The motion blurred image under the fluttered shutter. (c) and (d) show the functions t(x) and the corresponding PSFs using constant velocity assumption and our recovered constant acceleration motion. 51pixels/chop). 85pixel/chop).

We choose the shutter sequence as in [1] whose MTF has the maximum min magnitude and has a chop duration of vc = 1pixel/chop. With this setup, we obtain the ground truth FS-PSF using Eq. (5). Fig. 5 shows two examples acquired using this setup, an iris image (b) with little texture and a bar code image (f) with repetitive texture. The iris and 2D barcode targets move from left to right with a constant velocity, giving the flutter shutter images (c) and (g). In both cases the motion is axis-aligned horizontal.

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Computer Vision – ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part III by Andrej Mikulík, Michal Perdoch, Ondřej Chum, Jiří Matas (auth.), Kostas Daniilidis, Petros Maragos, Nikos Paragios (eds.)


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