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 offered including 39 specified music papers have been conscientiously 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 platforms, scientific imaging, monitoring for human job tracking, clever transportation structures, visible notion and robot platforms. half II (LNCS 8888) contains themes equivalent to computational bioimaging , popularity, machine imaginative and prescient, purposes, face processing and popularity, digital fact, and the poster sessions.
Read Online or Download Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I PDF
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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
Mehdi Ghayoumi and Ye Zhao 884 IntelliViz- A Tool for Visualizing Social Networks with Hashtags . . . . Jesse Tran, Quang Vinh Nguyen, and Simeon Simoﬀ 894 3D Previsualization Using a Computational Photography Camera . . . Cliﬀord Lindsay and Emmanuel Agu 904 Formation Control of Multiple Rectangular Agents with Limited Communication Ranges . . . . . . . . . . . . . . . . . . . . . . Thang Nguyen and Hung Manh La 915 Extrinsic Calibration between 2D Laser Range Finder and Fisheye Camera .
As this plot suggests choice of ZwartPowell box spline, as the basis function, leads to more accurate recovery during iterations. 28 27 26 25 24 18 16 14 12 23 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 iteration number 10 30 45 60 90 number of projection angles Fig. 3. (left) Higher order methods lead to higher reconstruction accuracy during iterations. (middle) Sparse representation error drops faster for higher order box splines. (right) More accurate recovery is achieved with fewer number of projections using higher order methods.
Emin Tarayan, Matthias H¨ oﬀken, Andra Stefania Herta, and Ulrich Kressel XXXV 230 240 Face Processing and Recognition A Bayesian Framework for Accurate Eye Center Localization . . . . . Zhou Liu, Heng Yang, Ming Dong, and Jing Hua Facial Point Localization Using Combination Method under Occlusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . Jongju Shin, Jieun Kim, and Daijin Kim Personalized Modeling of Facial Action Unit Intensity .
Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I 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