By George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ioannis Pavlidis, Rogerio Feris, Tim McGraw, Mark Elendt, Regis Kopper, Eric Ragan, Zhao Ye, Gunther Weber

The quantity set LNCS 9474 and LNCS 9475 constitutes the refereed court cases of the eleventh foreign Symposium on visible Computing, ISVC 2015, held in Las Vegas, NV, united states in December 2015.

The one hundred fifteen revised complete papers and 35 poster papers provided during this e-book have been conscientiously reviewed and chosen from 260 submissions. The papers are geared up in topical sections: half I (LNCS 9474) contains computational bioimaging; special effects; movement and monitoring; segmentation; acceptance; visualization; mapping; modeling and floor reconstruction; advancing autonomy for aerial robotics; clinical imaging; digital fact; watching people; spectral imaging and processing; clever transportation platforms; visible belief and robot platforms. half II (LNCS 9475): purposes; 3D laptop imaginative and prescient; special effects; segmentation; biometrics; development attractiveness; attractiveness; and digital reality.

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Additional info for Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I

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Mohammad Shokrolah Shirazi and Brendan Morris 809 Automatic Motion Classification for Advanced Driver Assistance Systems . . Alok Desai, Dah-Jye Lee, and Shreeya Mody 819 Shared Autonomy Perception and Manipulation of Physical Device Controls. . . . . . . . . . . . . . . . . . . . . . . . . Matthew Rueben and William D. Smart 830 Condition Monitoring for Image-Based Visual Servoing Using Kalman Filter . . . . .

Matthew Rueben and William D. Smart 830 Condition Monitoring for Image-Based Visual Servoing Using Kalman Filter . . . . . . . . . . . . . . . . . . . . . . . . . . Mien Van, Denglu Wu, Shuzi Sam Ge, and Hongliang Ren 842 Author Index . . . . . . . . . . . . . . . . . . . . . . edu Abstract. Neuronal connectivity matrices contain information vital to the understanding of brain structure and function. In this work we present graph-based visualization techniques for macroscale connectivity matrices that retain anatomical context while reducing the clutter and occlusion problems that plague 2D and 3D node-link diagrams.

Yu Liu, Yue Zhao, Shuxu Guo, Shaoxiang Zhang, and Chunming Li 205 Automatic Crater Detection Using Convex Grouping and Convolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . Ebrahim Emami, George Bebis, Ara Nefian, and Terry Fong 213 ST: Biometrics Segmentation of Saimaa Ringed Seals for Identification Purposes . . . . . Artem Zhelezniakov, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, and Heikki Kälviäinen 227 Fingerprint Matching with Optical Coherence Tomography .

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