Advances in Visual Computing: 10th International Symposium, by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin,

By George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang, Steven Drucker, Kambhamettu Chandra, El Choubassi Maha, Zhigang Deng, Mark Carlson

The quantity set LNCS 8887 and 8888 constitutes the refereed lawsuits of the tenth overseas Symposium on visible Computing, ISVC 2014, held in Las Vegas, NV, united states. The seventy four revised complete papers and fifty five poster papers provided including 39 particular tune papers have been rigorously reviewed and chosen from greater than 280 submissions. The papers are geared up in topical sections: half I (LNCS 8887) includes computational bioimaging, special effects; movement, monitoring, characteristic extraction and matching, segmentation, visualization, mapping, modeling and floor reconstruction, unmanned independent structures, scientific imaging, monitoring for human job tracking, clever transportation structures, visible conception and robot structures. half II (LNCS 8888) includes themes similar to computational bioimaging , reputation, machine imaginative and prescient, purposes, face processing and popularity, digital fact, and the poster sessions.

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Additional info for Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I

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Cyrille Berger 510 Face Detection and Tracking for Intent Recognition . . . . . . . . . T. J. van Wyk, K. Djouani, and Y. Amirat 521 Embedded Image Processing System for Automatic Page Segmentation of Open Book Images . . . . . . . . . . . . . . . . . . . . . . . Victor Rodr´ıguez-Osoria, Marco Aurelio Nu˜ no-Maganda, Yahir Hern´ andez-Mier, and Cesar Torres-Huitzil Towards an Embedded Real-Time High Resolution Vision System . . . Fredrik Ekstrand, Carl Ahlberg, Mikael Ekstr¨ om, and Giacomo Spampinato Violence Detection in Video by Using 3D Convolutional Neural Networks .

As we can see in the second row of Fig. 2 the approach is capable of handling Poisson noise on sinogram data, using proper weights in (7). We emphasize that these experiments are in a few-view setting and 45 projection angles is significantly smaller compared to results reported in [9] for the pixel-basis which matches our first-order box spline. We observed a similar trend in the reconstructed images for brain dataset. Fig. 3(left) shows reconstruction accuracy (SNR) of higher order methods for brain phantom from 60 projection angles.

Jae-Hean Kim and Jin Sung Choi Multimodal Approach for Natural Biomedical Multi-scale Exploration . . . . . . . . . . . . . . . . . . . . . . . . . . . Jan Rzepecki, Ricardo Manuel Mill´ an Vaquero, Alexander Vais, Karl-Ingo Friese, and Franz-Erich Wolter Generating Super-Resolved Depth Maps Using Low-Cost Sensors and RGB Images . . . . . . . . . . . . . . . . . . . . . . . . . . Leandro Tavares Arag˜ ao dos Santos, Manuel Eduardo Loaiza Fernandez, and Alberto Barbosa Raposo 609 620 632 Learning and Association of Features for Action Recognition in Streaming Video .

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