Name
Abstract | ||
|---|---|---|
This paper is concerned with solution of the consistent fundamental matrix estimation in a quadratic measurement error model. First an extended system for determining the estimator is proposed, and an efficient implementation for solving the system-a continuation method is developed to fix on an interval in which a local minimum belongs. Then an optimization method using a quadratic interpolation is used to exactly locate the minimum. The proposed method avoids solving total eigenvalue problems. Thus the computational cost is significantly reduced. Synthetic and real images are used to verify and illustrate the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11538059_37 | ICIC (1) |
Keywords | Field | DocType |
system-a continuation method,efficient implementation,quadratic interpolation,quadratic measurement error model,extended system method,computational cost,consistent fundamental matrix estimation,optimization method,local minimum,fundamental matrix,measurement error model | Errors-in-variables models,Computer science,Interpolation,Quadratic equation,Algorithm,Real image,Predictor–corrector method,Eigenvalues and eigenvectors,Fundamental matrix (computer vision),Estimator | Conference |
Volume | ISSN | ISBN |
3644 | 0302-9743 | 3-540-28226-2 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui-Xiang Zhong | 1 | 4 | 1.14 |
| Yueping Feng | 2 | 0 | 1.01 |
| Yunjie Pang | 3 | 18 | 5.61 |