Computer vision/Computer graphics collaboration techniques: by André Gagalowicz, Wilfried Philips

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By André Gagalowicz, Wilfried Philips

This booklet constitutes the refereed complaints of the 4th overseas convention on desktop Vision/Computer photographs Collaboration concepts, MIRAGE 2009, held in Rocquencourt, France, in could 2009. The forty-one revised complete papers awarded have been rigorously reviewed and chosen from a complete of eighty three submissions. The papers disguise a variety of issues with concentrate on machine Vision/Computer images collaboration strategies concerning picture analysis/synthesis ways specially relating theoretical, computational, experimental or commercial facets of model-based photograph research and image-based version synthesis.

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Additional info for Computer vision/Computer graphics collaboration techniques: 4th International Conference, MIRAGE 2009, Rocquencourt, France, May 4-6, 2009: proceedings

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378–385 (2003) 18. : Efficient skeletonization of volumetric objects. TVCG (3), 196–209 (1999) 19. : Automatic joints extraction of scanned human body. it Abstract. Human action recognition is an important research area in the field of computer vision having a great number of real-world applications. This paper presents a multi-view action recognition framework able to extract human silhouette clues from different synchronized static cameras and then to validate them by analyzing scene dynamics. Two different algorithmic procedures were introduced: the first one performs, in each acquired image, the neural recognition of the human body configuration by using a novel mathematical tool called Contourlet transform.

Computer Vision, Nice, France, pp. 591–596 (2003) 6. : Dealing with textureless regions and specular highlights—a progressive space carving scheme using a novel photo-consistency measure. In: Int. Conf. Computer Vision, Nice, France, pp. 576–584 (2003) 7. : Pde based shape from specularities. , Lillholm, M. ) Scale-Space 2003. LNCS, vol. 2695, Springer, Heidelberg (2003) 8. : Estimating surface shape and extending known structure using specular reflections. In: International Conference on Pattern Recognition, Cambridge, UK (2004) 9.

IEEE Transactions on Pattern Analysis and Machine Intelligence 19(5), 513–520 (1997) 16. : 3D Acquisition of Mirroring Objects using Striped Patterns. Graphical Models 67, 233–259 (2005) 17. : Image-Based Lighting. IEEE Computer Graphics and Applications 22(2), 26–34 (2002) 18. : Surface reconstruction by a gauss kernel integration approach. In: ICSP 2004 Proceedings, pp. 1252–1255 (2004) Geometric Mesh Denoising via Multivariate Kernel Diffusion Khaled Tarmissi and A. ca Abstract. We present a 3D mesh denoising method based on kernel density estimation.

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