Polynomial-time object recognition in the presence of clutter, occlusion, and uncertainty-Reference-Cited by-同舟云学术

Polynomial-time object recognition in the presence of clutter, occlusion, and uncertainty

Published:1992 Issue: Volume: Page:834-842
ISSN:0302-9743
Container-title:Computer Vision — ECCV'92
language:
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Author:

Cass Todd A.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-55426-2_96

Reference19 articles.

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2. Baird, H.S., 1985, Model-Based Image Matching Using Location, MIT Press, Cambridge, MA.

3. Bolles, R.C. & R.A. Cain, 1982, “Recognizing and Locating Partially Visible Objects: The Local-feature-focus Method”, International Journal of Robotics Research, 1(3):57–82.

4. Breuel, T. M., 1990, “An Efficient Correspondence Based Algorithm for 2D and 3D Model Based Recognition”, MIT AI Lab Memo 1259.

5. Cass, Todd A., 1988, “A Robust Implementation of 2D Model-Based Recognition”, Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, Ann Arbor, Michigan.

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