Abstract
Space alignment is the first step in data fusion for vision sensor and LMS. Point matching and plane matching are commonly used in space alignment of vision sensor and LMS. But the precision of point matching method is hardly improved, since mixed pixel and matching point loss in non-structure space. Mixed pixel and matching point loss in non-structure space are analyzed. A method for matching point extracting by modeling of pattern and LMS laser is proposed. The result is verified and space alignment precision is compared. The simulated results show that this algorithm can improve the precision of point matching method, and finally the performance of point matching method is improved.
| Original language | English |
|---|---|
| Pages (from-to) | 43-47 |
| Number of pages | 5 |
| Journal | Guangxue Jishu/Optical Technique |
| Volume | 36 |
| Issue number | 1 |
| Publication status | Published - Jan 2010 |
Keywords
- LMS
- Laser techniques
- Matching point loss
- Mixed pixel
- Pattern modeling
- Point matching
- Visible light image