Name
Title | ||
|---|---|---|
Robust Point Pattern Relaxation Matching With Missing, Spurious Points And Random Errors |
Abstract | ||
|---|---|---|
Relaxation matching is one of the most relevant methods for image matching. The original relaxation matching technique using point patterns is sensitive to distortions such as missing or spurious points and random errors. In this paper, we present a robust point pattern relaxation matching technique based on least median of squared errors estimation to improve the original point pattern relaxation matching technique to be robust to missing or spurious points and random errors, Experimental results with large simulated images and real images demonstrate the effectiveness and feasibility of the method to perform point pattern relaxation matching with missing or spurious points and random errors. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1117/12.316412 | VISUAL INFORMATION PROCESSING VII |
Keywords | Field | DocType |
matching, relaxation, point patterns, robust, least median of squared errors estimator | Computer vision,Random error,Square (algebra),Image matching,Image processing,Algorithm,Artificial intelligence,Real image,Translation factor,Pattern matching,Spurious relationship,Physics | Conference |
Volume | ISSN | Citations |
3387 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nong Sang | 1 | 475 | 72.22 |
| Sheng Zhong | 2 | 2019 | 144.16 |
| Tianxu Zhang | 3 | 206 | 23.18 |