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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zongmin Li Xiaoxuan Hong Yujie Liu |
| Copyright Year | 2011 |
| Abstract | An eficient rndomized agorithm for line and circle detection in the Conformal Geometric Algebra framework is designed and implemented. This arithmetic performs well when an image has strong background noise. In conformal geometric algebra, circle and line in conformal space can be represented as multivectors. Then the distance would be more easily computed from each edge point to the hypothesis by this detecting algorithm. Based on these distances, the matched points are efficiently summarized and aggregated to yield the true object. The experimental evaluation achieves excellent performance in the hypotheses voting and yields competitive results. |
| Starting Page | 198 |
| Ending Page | 201 |
| File Size | 508337 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457710797 |
| DOI | 10.1109/CAD/Graphics.2011.84 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-15 |
| Publisher Place | Colombia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Shape Noise conformal space Vectors conformal geometric algebra Mathematical model multivector line detection circle detection Equations |
| Content Type | Text |
| Resource Type | Article |
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