New feature points based on geometric invariants for 3D image registration-Reference-Cited by-同舟云学术

New feature points based on geometric invariants for 3D image registration

Published:1996-05 Issue:2 Volume:18 Page:121-137
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vision

Author:

Thirion Jean-Philippe

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/BF00054999.pdf

Reference17 articles.

1. BeslP.J. and McKayN.D. 1989. A method for the registration of 3-d shapes. IEEE Trans. on Pattern Anal. and Machine Intell., 14(2):239?256.

2. Brunie, L., Lavallée, S., and Szeliski, R. 1992. Using force field derived from 3-d distance maps for infering the attitude of a 3d rigid object. Proc. 2nd ECCV, pp. 670?675.

3. Do Carmo, M.P. 1976. Differential Geometry of Curves and Surfaces. Prentice Hall.

4. Gauch. J.M. 1992. Multiresolution Image Shape Description. Springer-Verlag.

5. Giraudon, G. and Deriche, R. 1991. On corner and vertex detection. In Conference on Computer Vision and Pattern Recognition, Hawaii (USA).

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