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.)

It is with nice excitement that we current the court cases of the sixth Inter- tional, Symposium on visible Computing (ISVC 2010), which was once held in Las Vegas, Nevada. ISVC presents a typical umbrella for the 4 major parts of visible computing together with imaginative and prescient, pix, visualization, and digital fact. The objective is to supply a discussion board for researchers, scientists, engineers, and pr- titioners in the course of the international to give their most up-to-date examine ?ndings, principles, advancements, and functions within the broader region of visible computing. This 12 months, this system consisted of 14 oral periods, one poster consultation, 7 distinct tracks, and six keynote displays. The reaction to the decision for papers used to be first-class; we got over three hundred submissions for the most symposium from which we accredited ninety three papers for oral presentation and seventy three papers for poster p- sentation. distinctive music papers have been solicited individually in the course of the Organizing and application Committees of every music. a complete of forty four papers have been authorised for oral presentation and six papers for poster presentation within the precise tracks.

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Extra resources 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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3 Projective Reconstruction In this section, we will show how the problem can be reformulated into a multilinear WLS problem which can be solved by an iterative algorithm. 1 Spline Curve Construction According to the definition of the B-spline, a B-spline curve is defined by its order, knot vector and control points. We employ cubic spline for approximating c1l in our algorithm, so the order of spline curve is four in this paper. To further simplify the problem, we use a uniform knot vector in the range of [0, 1], leaving the spline curve to be totally determined by its control points which can be updated iteratively.

A closed-form geometric solution is used to obtain the intrinsic parameters afterwards. The extrinsic parameters are only determined for one camera. In this paper we present a novel and practical approach to determine both intrinsic and extrinsic parameters for a network of surveillance cameras by analyzing a pedestrian. We develop a 3D scene reconstruction method based on pairwise determination of relative orientations. Different to [3], the calibration method is replaced by a self-calibration approach similar to the one presented in [2].

In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 125–132 (2001) 13. : Lens distortion calibration using point correspondences. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 602–608 (1996) 14. : Generic self-calibration of central cameras. Computer Vision and Image Understanding 114, 210–219 (2010) 15. : Robust line-based calibration of lens distortion from a single view. In: Computer Vision / Computer Graphics Collaboration for Model-based Imaging Rendering, Image Analysis and Graphical Special Effects, pp.

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