Schwarps: Locally Projective Image Warps Based on 2D Schwarzian Derivatives-Reference-Cited by-同舟云学术

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Schwarps: Locally Projective Image Warps Based on 2D Schwarzian Derivatives

Published:2016-02-09 Issue:2 Volume:119 Page:93-109
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Pizarro Daniel,Khan Rahat,Bartoli Adrien

Funder

European Research Council (BE)

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-016-0882-9.pdf

Reference44 articles.

1. Bartoli, A., & Collins, T. (2013a). Template-based isometric deformable 3D reconstruction with sampling-based focal length self-calibration. In Computer Vision and Pattern Recognition.

2. Bartoli, A., & Collins, T. (2013b). Template-based isometric deformable 3D reconstruction with sampling-based focal length self-calibration. In Computer Vision and Pattern Recognition.

3. Bartoli, A., Perriollat, M., & Chambon, S. (2010). Generalized thin-plate spline warps. International Journal of Computer Vision, 88(1), 85–110.

4. Bartoli, A., Gérard, Y., Chadebecq, F., & Collins, T. (2012). On template-based reconstruction from a single view: Analytical solutions and proofs of well-posedness for developable, isometric and conformal surfaces. In Computer Vision and Pattern Recognition.

5. Bookstein, F. L. (1989). Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transaction on Pattern Analysis Machine Intelligence, 11(6), 567–585.

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