Feature Extraction of the 3-Dimensional Objects with Circular Cross Sections


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 4, pp. 866-876, Jul. 1996
10.3745/KIPSTE.1996.3.4.866,   PDF Download:

Abstract

A feature extraction method for the objects that have a circular cross section is proposed. To implement a robust recognition system which can effectively deal with various types of 2-dimensional image and 3-dimensional image, both 2-dimensional information and 3-dimensional information should be collectively extracted and combined for the optimum recognition. For this, this paper presents a feature extraction method for 3-dimensional objects, particularly for the objects with a circular cross section which most objects in the real world are known to have. Firstly, the Z gradient is proposed to extract the shape information from those objects. Using this information, normal vectors are derived from the surface patched. The intersection points between the vectors are applied to the geometric feature extraction. Also, for more accurate recognition, a feature extraction method for between surface regions is proposed. Finally, the extraction method of function information is investigated for the final recognition process. The usefulness of the proposed method is proved through the exprimentation.


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Cite this article
[IEEE Style]
C. D. Uk, "Feature Extraction of the 3-Dimensional Objects with Circular Cross Sections," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 4, pp. 866-876, 1996. DOI: 10.3745/KIPSTE.1996.3.4.866.

[ACM Style]
Cho Dong Uk. 1996. Feature Extraction of the 3-Dimensional Objects with Circular Cross Sections. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 4, (1996), 866-876. DOI: 10.3745/KIPSTE.1996.3.4.866.