3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints-Reference-Cited by-同舟云学术

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3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

Published:2006-03 Issue:3 Volume:66 Page:231-259
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vision

Author:

Rothganger Fred,Lazebnik Svetlana,Schmid Cordelia,Ponce Jean

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/s11263-005-3674-1.pdf

Reference63 articles.

1. Ayache, N. and Faugeras, O.D. 1986. Hyper: A new approach for the recognition and positioning of two-dimensional objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(1):44–54.

2. Baker, S. and Kanade, T. 2002. Limits on super-resolution and how to break them. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(9):1167–1183.

3. Baumberg, A. 2000. Reliable feature matching across widely separated views. In Conference on Computer Vision and Pattern Recognition, pp. 774–781.

4. Belhumeur, P.N., Hespanha, J.P., and Kriegman, D.J. 1997. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):711–720.

5. Blostein, D. and Ahuja, N. 1989. A multiscale region detector. Computer Vision, Graphics and Image Processing, 45:22–41.

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