Name
Abstract | ||
|---|---|---|
This paper describes a direct, self-contained method for planar image rectification of stereo pairs. The method is based solely on an examination of the Fundamental matrix, where an improved method is given for the derivation of two projective transformations that horizontally align all the epipolar projections. A novel approach is proposed to uniquely optimise each transform in order to minimise perspective distortions. This ensures the rectified images resemble the original images as closely as possible. Detailed results show that the rectification precision exactly matches the estimation error of the Fundamental matrix. In tests the remaining perspective distortion offers on average less than one percent viewpoint distortion. Both these factors offer superior robustness and performance compared with existing techniques. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.imavis.2005.03.002 | Image Vision Comput. |
Keywords | Field | DocType |
perspective distortion,self-contained method,epipolar projection,homography,planar image rectification,stereo vision,fundamental matrix,improved method,detailed result,percent viewpoint distortion,distortion minimisation,remaining perspective distortion,projective rectification,rectification precision,image processing | Computer vision,Perspective distortion,Essential matrix,Epipolar geometry,Image rectification,Homography,Artificial intelligence,Distortion,Fundamental matrix (computer vision),Mathematics,Homography (computer vision) | Journal |
Volume | Issue | ISSN |
23 | 7 | Image and Vision Computing |
Citations | PageRank | References |
21 | 1.25 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Mallon | 1 | 97 | 7.88 |
| Paul F. Whelan | 2 | 561 | 39.95 |