Name
Title | ||
|---|---|---|
Reconstruction of the 3D Scenes from the Matching Between Image Pair Taken by an Uncalibrated Camera. |
Abstract | ||
|---|---|---|
In this paper, we will study a new approach of reconstruction of three-dimensional scenes from an auto calibration method of camera characterized by variable parameters. Indeed, obtaining the 3D scene is based on the Euclidean reconstruction of the interest points detected and matched between pair of images. The relationship between the matches and camera parameters is used to formulate a nonlinear equation system. This system is transformed into a nonlinear cost function, which will be minimized to determine the intrinsic and extrinsic camera parameters and subsequently estimate the projection matrices. Finally, the coordinates of the 3D points of the scene are obtained by solving a linear equation system. The results of the experiments show the strengths of this contribution in terms of precision and convergence. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-96292-4_35 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Auto calibration,Reconstruction,Variable parameter,Fundamental matrix | Convergence (routing),Linear equation,Data mining,Nonlinear system,Matrix (mathematics),Computer science,Algorithm,Euclidean geometry,Auto calibration,Fundamental matrix (computer vision) | Conference |
Volume | ISSN | Citations |
872 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karima Karim | 1 | 0 | 0.34 |
| Nabil El Akkad | 2 | 21 | 3.80 |
| Khalid Satori | 3 | 42 | 16.75 |