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 complaints of the eleventh overseas 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 offered during this ebook have been rigorously reviewed and chosen from 260 submissions. The papers are equipped in topical sections: half I (LNCS 9474) includes computational bioimaging; special effects; movement and monitoring; segmentation; popularity; visualization; mapping; modeling and floor reconstruction; advancing autonomy for aerial robotics; scientific imaging; digital fact; staring at people; spectral imaging and processing; clever transportation structures; visible belief and robot platforms. half II (LNCS 9475): purposes; 3D desktop imaginative and prescient; special effects; segmentation; biometrics; trend attractiveness; reputation; and digital reality.
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Extra resources for Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II
22] performed the nearest-neighbor search based on a patch pool formed with patches collected through a pyramid structure with the input image at diﬀerent resolutions. In , Freedman and Fattal proposed a real time multi-step algorithm which allows a local search instead of a global search. Huang et al.  extended internal example-based SR by allowing geometric variations to fully utilize the internal similarity. For hybrid example-based learning, Yang et al.  combined learning from self-examples and an external dataset into a regression model based on in-place examples.
Olivier De Meyst, Thijs Goethals, Haris Balta, Geert De Cubber, and Rob Haelterman 466 Nonlinear Controller of Quadcopters for Agricultural Monitoring . . . . . Víctor H. Andaluz, Edison López, David Manobanda, Franklin Guamushig, Fernando Chicaiza, Jorge S. Sánchez, David Rivas, Fabricio Pérez, Carlos Sánchez, and Vicente Morales 476 Contents – Part I XXXV Medical Imaging Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models . . . . . . .
Puneet Sharma and Oddmar Eiksund 901 Prototype of Super-Resolution Camera Array System . . . . . . . . . Daiki Hirao and Hitoshi Iyatomi 911 Author Index . . . . . . . . . . . . . . . . . . . . . . edu Abstract. Image super-resolution aims to recover a visually pleasing high resolution image from one or multiple low resolution images. It plays an essential role in a variety of real-world applications. In this paper, we propose a novel hybrid example-based single image superresolution approach which integrates learning from both external and internal exemplars.
Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II 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