By Ragaad AlTarawneh, Jens Bauer, Shah Rukh Humayoun, Patric Keller, Achim Ebert (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor Zordan, James Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz (e
The quantity units LNCS 8033 and 8034 constitutes the refereed court cases of the ninth overseas Symposium on visible Computing, ISVC 2013, held in Rethymnon, Crete, Greece, in July 2013. The sixty three revised complete papers and 35 poster papers provided including 32 designated tune papers have been conscientiously reviewed and chosen from greater than 220 submissions. The papers are geared up in topical sections: half I (LNCS 8033) contains computational bioimaging; special effects; movement, monitoring and popularity; segmentation; visualization; 3D mapping, modeling and floor reconstruction; characteristic extraction, matching and popularity; sparse equipment for computing device imaginative and prescient, photos and scientific imaging; face processing and popularity. half II (LNCS 8034) includes themes comparable to visualization; visible computing with multimodal info streams; visible computing in electronic cultural historical past; clever environments: algorithms and purposes; functions; digital reality.
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Additional info for Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II
Bo Xiang, Nikos Komodakis, and Nikos Paragios 194 Connected Components Labeling on the GPU with Generalization to Voronoi Diagrams and Signed Distance Fields . . . . . . . . . . . . A. S. Sørensen, and G. Ziegler 206 Foreground Detection with a Moving RGBD Camera . . . . . . . . . P. Koutlemanis, X. Zabulis, A. Ntelidakis, and Antonis A. Argyros 216 Image Segmentation Using Iterated Graph Cuts with Residual Graph . . Michael Holuˇsa and Eduard Sojka 228 Table of Contents – Part I XXXIII Pressure Based Segmentation in Volumetric Images .
Guoyu Lu, Vincent Ly, Haoquan Shen, Abhishek Kolagunda, and Chandra Kambhamettu Reconstructing Plants in 3D from a Single Image Using Analysis-bySynthesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . J´erˆ ome Gu´enard, G´eraldine Morin, Fr´ed´eric Boudon, and Vincent Charvillat Rapid Disparity Prediction for Dynamic Scenes . . . . . . . . . . . Jun Jiang, Jun Cheng, and Baowen Chen A Solution to the Similarity Registration Problem of Volumetric Shapes .
In fact, the added bottom reﬂection layer increased the accuracy compared to the ﬁrst study even though with larger data size and also compared to the tasks without bottom reﬂection layer support in this user study. (a) (b) Fig. 4. (a) Average accuracy of all tasks for all user groups. (b) The average time of all tasks for all users groups. 8 seconds (the combined mean time of task 2, task 5 and task 6). This indicates that the our proposed bottom reﬂection layer supports signiﬁcantly the viewers in judging the number of layers, as through this, it is obvious for them to understand the depth levels in the underlying conﬁguration.
Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II by Ragaad AlTarawneh, Jens Bauer, Shah Rukh Humayoun, Patric Keller, Achim Ebert (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor Zordan, James Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz (e