By Giorgio Panin, Alois Knoll (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Syeda-Mahmood Tanveer, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Tom Malzbender (eds.)
It is with nice excitement that we welcome you to the lawsuits of the third - ternational Symposium on visible Computing (ISVC 2007) held in Lake Tahoe, Nevada/California. ISVC o?ers a typical umbrella for the 4 major components of visualcomputing together with vision,graphics,visualization,andvirtualreality.Its aim is to supply a discussion board for researchers, scientists, engineers and practitioners during the global to give their most up-to-date learn ?ndings, rules, devel- ments, and functions within the broader zone of visible computing. Thisyear,theprogramconsistedof14oralsessions,1postersession,6special tracks, and six keynote displays. Following a truly profitable ISVC 2006, the reaction to the decision for papers was once virtually both robust; we obtained over 270 submissions for the most symposium from which we permitted seventy seven papers for oral presentation and forty two papers for poster presentation. detailed song papers have been solicited individually in the course of the Organizing and application Committees of every song. a complete of 32 papers have been permitted for oral presentation and five papers for poster presentation within the particular tracks.
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Additional resources for Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I
Note that the superscript E indicates that these translations and rotations refer to the ellipsoids of the Corpulence model, not the bones of the Skeleton model. Formally, the Corpulence model parameters are described by E ri, b , tEb , REb b=1 for each individual bone b. Most of the bones in our human hand b model are dressed with Eb = 2 ellipsoids, of which one usually represents a joint between bone b and its parent bp . e. ry, b = 12 sb . This arrangement gave a realistic representation of the 3D nature of a real human hand.
4 show robustness of the system under strong light changes and partial occlusion; thanks to the use of mutual information as robust matching index, the tracker did not loose accuracy of pose estimation despite dark lighting (frames 506, 659), light switching (frame 550), and occlusions (frame 772). The same observation concerns contour tracking that, by employing locally self-adaptive color separation criteria, is able to overcome abrupt changes in color statistics both inside and outside the enclosed region.
Panin and A. Knoll After optimization, tracking loss is detected by setting a lower threshold on the output mutual information value. By optimizing only over rotational degrees of freedom θR , this module yields stable and reliable results within less than 100 function evaluations, ensuring real-time performances on common platforms. 6 Experimental Results Our face modeling and tracking system has been successfully applied to online tracking experiments. We show here results from a video sequence of 1550 frames, using the model of Fig.
Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I by Giorgio Panin, Alois Knoll (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Syeda-Mahmood Tanveer, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Tom Malzbender (eds.)