3D Object Recognition Based on Description of Geometric Relations among Features Extracted from Surface Models
Author:
Affiliation:
1. Kyushu Institute of Technology
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2009/0/2009_176/_pdf
Reference11 articles.
1. [1] Y. Lamdan and H. J. Wolfson, “Geometric hashing: a general and efficient model-based recognition scheme,” IEEE International Conference on Computer Vision, pp. 238-249, 1988.
2. [2] F. Mokhtarian, N. Khalili and P. Yuen, “Multi-scale free-form 3D object recognition using 3D models,” Image and Vision Computing, Vol. 19, pp. 271-281, 2001.
3. [3] T. Denton, A. Shokoufandeh, J. Novatnack and K. Nishino, “Canonical subsets of image features,” Computer Vision and Image Understanding, Vol. 112, pp. 55-66, 2008.
4. [4] K. Mikolajczyk and C. Schmid, “Indexing based on scale invariant interest points,” Proc. IEEE Int. Conf. on Computer Vision, pp. 525-531, 2001.
5. [5] G. Taubin, “Estimation of planar curves, surfaces, and nonplanar space curves, defined by implicit equations with applications to edge and range image segmentation,” IEEE Trans. PAMI, Vol. 13, No. 11, pp. 1115-1138, 1991.
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