Details
| Original language | English |
|---|---|
| Pages (from-to) | 325-333 |
| Number of pages | 9 |
| Journal | Journal of Computing and Information Science in Engineering |
| Volume | 3 |
| Issue number | 4 |
| Early online date | 24 Dec 2003 |
| Publication status | Published - Dec 2003 |
Abstract
Despite extensive research and rapid increase of computing power, free-form object matching still remains a challenging problem in CAD/CAM areas. In this paper, various object features are discussed, and matching methods which use these features are introduced along with robust computational algorithms for umbilical points and intrinsic wireframes. The similarity of matched objects is assessed with three proposed tests. Each algorithm is demonstrated with examples.
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Journal of Computing and Information Science in Engineering, Vol. 3, No. 4, 12.2003, p. 325-333.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Shape Intrinsic Properties for Free-Form Object Matching
AU - Ko, K. H.
AU - Maekawa, T.
AU - Patrikalakis, N. M.
AU - Masuda, H.
AU - Wolter, F. E.
PY - 2003/12
Y1 - 2003/12
N2 - Despite extensive research and rapid increase of computing power, free-form object matching still remains a challenging problem in CAD/CAM areas. In this paper, various object features are discussed, and matching methods which use these features are introduced along with robust computational algorithms for umbilical points and intrinsic wireframes. The similarity of matched objects is assessed with three proposed tests. Each algorithm is demonstrated with examples.
AB - Despite extensive research and rapid increase of computing power, free-form object matching still remains a challenging problem in CAD/CAM areas. In this paper, various object features are discussed, and matching methods which use these features are introduced along with robust computational algorithms for umbilical points and intrinsic wireframes. The similarity of matched objects is assessed with three proposed tests. Each algorithm is demonstrated with examples.
UR - http://www.scopus.com/inward/record.url?scp=1642525144&partnerID=8YFLogxK
U2 - 10.1115/1.1633277
DO - 10.1115/1.1633277
M3 - Article
AN - SCOPUS:1642525144
VL - 3
SP - 325
EP - 333
JO - Journal of Computing and Information Science in Engineering
JF - Journal of Computing and Information Science in Engineering
SN - 1530-9827
IS - 4
ER -