By Davide Moschini, Andrea Fusiello (auth.), André Gagalowicz, Wilfried Philips (eds.)

This booklet constitutes the refereed court cases of the 4th foreign convention on desktop Vision/Computer pictures Collaboration concepts, MIRAGE 2009, held in Rocquencourt, France, in may well 2009. The forty-one revised complete papers offered have been rigorously reviewed and chosen from a complete of eighty three submissions. The papers conceal quite a lot of themes with concentrate on machine Vision/Computer pics collaboration recommendations related to photograph analysis/synthesis methods in particular referring to theoretical, computational, experimental or business elements of model-based picture research and image-based version synthesis.

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Additional info for Computer Vision/Computer Graphics CollaborationTechniques: 4th International Conference, MIRAGE 2009, Rocquencourt, France, May 4-6, 2009. Proceedings

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ACM Press, New York (2004) 7. : From geometric to semantic human body models. Computers & Graphics, 185–196 (2006) 8. : Tracking stick figures with hierarchical articulated icp. In: Proceedings THEMIS 2008, pp. 61–68 (2008) 9. : Computing hierarchical curve-skeleton of 3d objects. The Visual Computer (11), 945–955 (2005) 10. : Curve-skeleton applications. In: IEEE Visualization, pp. 95–102 (2005) 11. : Parameter-controlled volume thinning. Graph. Models and Image Proc. (3), 149–164 (1999) 12. : Consistent mesh partitioning and skeletonisation using the shape diameter function.

IEEE Visualization, pp. 397–405 (2000) 12. : Processing textured surfaces via anisotropic geometric diffusion. IEEE Trans. Image Processing 13(2), 248–261 (2004) 13. : Anisotropic diffusion of subdivision surfaces and functions on surfaces. ACM Trans. Graphics 22(1), 4–32 (2003) 14. : Geometric surface smoothing via anisotropic diffusion of normals. In: Proc. IEEE Visualization, pp. 125–132 (2002) 15. : Geometric surface processing via normal maps. ACM Transactions on Graphics 22(4), 1012–1033 (2003) 16.

Results obtained are satisfactory: the algorithm is fast and robust and curve skeletons obtained are well centered (see Fig. 2). The active contour approach presents the big advantage of keeping the curves smooth, avoiding the discontinuity problems of classical methods based on local geometrical properties and clustering. e. chains with no links except at the extremal nodes. e. e. chains with links at two extremal nodes (Figure 3 A). The processing pipeline consists then in two steps: first the candidate skeleton branches containing the main body structures are isolated, then they are processed in order to find feature points used to segment them correctly.

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