Download e-book for iPad: Computer Vision – ECCV 2014: 13th European Conference, by David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars

By David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars

ISBN-10: 3319105922

ISBN-13: 9783319105925

ISBN-10: 3319105930

ISBN-13: 9783319105932

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed complaints of the thirteenth ecu convention on laptop imaginative and prescient, ECCV 2014, held in Zurich, Switzerland, in September 2014.
The 363 revised papers provided have been rigorously reviewed and chosen from 1444 submissions. The papers are geared up in topical sections on monitoring and task popularity; acceptance; studying and inference; constitution from movement and have matching; computational images and low-level imaginative and prescient; imaginative and prescient; segmentation and saliency; context and 3D scenes; movement and 3D scene research; and poster sessions.

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Read Online or Download Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV PDF

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Additional info for Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV

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26) Equation (26) becomes orthographic projection when t → ∞. Figure 4 shows that Schwarp outperforms all the other warps with a significant margin. The errors increase linearly first, and then quadratically, with increasing perspective. It is interesting to note that Schwarp models perspective better than the rational warps (DP-warp and NURBS-warp). R. Khan, D. Pizarro, and A. Bartoli 7 6 BS−warp TPS−warp Schwarp NURBS−warp DP−warp 5 4 50 120 45 110 2nd Derivative Error (%) Generalization Error (pixels) 8 1st Derivative Error (%) 12 40 35 30 25 20 15 10 3 2 4 6 8 Amount of deformation 10 5 100 90 80 70 60 50 40 2 4 6 8 Amount of deformation 10 2 4 6 8 Amount of deformation 10 Fig.

Springer, Heidelberg (2010) 6. : Monoslam: Real-time single camera slam. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(6), 1052–1067 (2007) 7. : Unified loop closing and recovery for real time monocular slam. In: Proc. British Machine Vision Conference, vol. 13, p. 136. Citeseer (2008) 8. : Generalised linear pose estimation. In: Proc. British Machine Vision Conference, pp. 1–10 (2007) 9. : Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.

Globally optimal o(n) solution to the pnp problem for general camera models. In: Proc. British Machine Vision Conference, pp. 1–10 (2008) 22. : Theia Multiview Geometry Library: Tutorial & Reference. edu/~ cmsweeney/theia 23. : A multi-camera 6-dof pose tracker. In: Proc. International Symposium on Mixed and Augmented Reality, pp. 296–297. IEEE (2004) 24. : The graph slam algorithm with applications to largescale mapping of urban structures. The International Journal of Robotics Research 25(5-6), 403–429 (2006) 25.

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Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV by David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars


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