Semi-Automatic 2D to 3D Video Conversion

Author:

Pohl Petr,Tolstaya Ekaterina V.

Publisher

Springer International Publishing

Reference41 articles.

1. Appia, V., Batur, U.: Fully automatic 2D to 3D conversion with aid of high-level image features. In: Stereoscopic Displays and Applications XXV, vol. 9011, p. 90110W (2014)

2. Baker, S., Scharstein, D., Lewis, J.P., Roth, S., Black, M.J., Szeliski, R.: A database and evaluation methodology for optical flow. Int. J. Comp. Vision. 92(1), 1–31 (2011)

3. Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: Proceedings of the 27th Annual Conference on Computer graphics and Interactive Techniques, p. 417 (2000)

4. Bugeau, A., Piracés, P.G.I., d'Hondt, O., Hervieu, A., Papadakis, N., Caselles, V.: Coherent background video inpainting through Kalman smoothing along trajectories. In: Proceedings of 2010–15th International Workshop on Vision, Modeling, and Visualization, p. 123 (2010)

5. Butler D.J., Wulff J., Stanley G.B., Black M.J.: A Naturalistic Open Source Movie for Optical Flow Evaluation. In: Fitzgibbon A., Lazebnik S., Perona P., Sato Y., Schmid C. (eds) Computer Vision – ECCV 2012. ECCV 2012. Lecture Notes in Computer Science, vol 7577. Springer, Berlin, Heidelberg (2012)

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