Download Advances in Visual Computing: 6th International Symposium, by Michael Hödlmoser, Martin Kampel (auth.), George Bebis, PDF

By Michael Hödlmoser, Martin Kampel (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ronald Chung, Riad Hammound, Muhammad Hussain, Tan Kar-Han, Roger Crawfis, Daniel Thalmann, David Kao, Lisa Avila (eds.)

ISBN-10: 3642172733

ISBN-13: 9783642172731

It is with nice excitement that we current the lawsuits of the sixth Inter- tional, Symposium on visible Computing (ISVC 2010), which used to be held in Las Vegas, Nevada. ISVC offers a standard umbrella for the 4 major parts of visible computing together with imaginative and prescient, pics, visualization, and digital truth. The target is to supply a discussion board for researchers, scientists, engineers, and pr- titioners through the international to provide their most recent learn ?ndings, principles, advancements, and purposes within the broader quarter of visible computing. This 12 months, this system consisted of 14 oral classes, one poster consultation, 7 precise tracks, and six keynote displays. The reaction to the decision for papers was once first-class; we bought over three hundred submissions for the most symposium from which we authorized ninety three papers for oral presentation and seventy three papers for poster p- sentation. distinct tune papers have been solicited individually throughout the Organizing and application Committees of every song. a complete of forty four papers have been authorised for oral presentation and six papers for poster presentation within the particular tracks.

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Extra info for Advances in Visual Computing: 6th International Symposium, ISVC 2010, Las Vegas, NV, USA, November 29 – December 1, 2010, Proceedings, Part II

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For each contour of sufficient length, our arc extraction procedure (Algorithm 1) pre-calculates the number N of point sampling steps to perform using assuming a minimum number lmin = 50 of inlier pixels. In a first series of runs, we varied λ while keeping the distortion center fixed at (x0 , y0 ) = (320, 240), the image center. In a second series of runs, we kept the distortion level fixed (λ = −10−6 ) while varying the distortion center. In every Robust Radial Distortion from a Single Image (a) (b) (c) 17 (d) Fig.

We are grateful to Irshad Ali for his valuable feedback and comments. References 1. : A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 1330–1334 (2000) 2. : Correcting radial distortion by circle fitting. In: British Machine Vision Conference, BMVC (2005) 3. : Automatic calibration of fish-eye cameras from automotive video sequences. Intelligent Transport Systems, IET 4, 136–148 (2010) 4. : Wide-angle camera technology for automotive applications: a review.

In this paper, we propose a new method based on the plumb-line approach that addresses these limitations. The method works from a single image if the image contains a sufficient number of distorted straight lines. It does not require a calibration pattern or human intervention. We use Fitzgibbon’s division model of radial distortion [12] with a single parameter. Our estimator is similar to that of Strand and Hayman [2] and Wang et al. [5] in that we estimate the parameters of the distortion model from the parameters of circular arcs identified in the distorted image, based on the fact that distorted straight lines can be modeled as circular under the single parameter division model [10].

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