Epipolar geometry

노트

위키데이터

• ID : Q200904

말뭉치

1. Epipolar geometry describes the geometric relationship between two camera systems.
2. In this section we will deal with epipolar geometry.
3. This paper gives a comparison of SAR imaging and camera imaging from the viewpoint of epipolar geometry.
4. The imaging model and epipolar geometry of the two sensors are analyzed in detail.
5. The standard epipolar geometry setup involves two cameras observing the same 3D point P, whose projection in each of the image planes is located at p and p’ respectively.
6. An interesting case of epipolar geometry is shown in Figure 4, which occurs when the image planes are parallel to each other.
7. The application of projective geometry to this situation results in the now popular epipolar geometry approach.
8. Due to the linearity of the above equation, the epipolar geometry approach maintains a clean elegance in its manipulations.
9. The result is that it is not possible to determine the epipolar geometry between close consecutive frames and it cannot be determined from image correspondences alone.
10. The linearization in epipolar geometry creates these degeneracies and numerical ill-conditioning near them.
11. To calculate depth information from a pair of images we need to compute the epipolar geometry.
12. We first describe properties of the epipolar geometry of two affine cameras, and its optimal computation from point correspondences.
13. The epipolar geometry then describes the relation between the two resulting views.

메타데이터

위키데이터

• ID : Q200904