Vision 1: Camera models + Calibration Flashcards
Name some static and perspective monocular depth queues
- Static (pictorial) cues
- Occlusion
- Relative size
- Aerial (Atmospheric)
- Shading
- Perspective
- Linear perspective
- Texture gradient
- Relative Height
- Cast shadows/shading
How do you calculate the depth of a point using two cameras facing the same direction?
In order to find the depth of a point with two cameras facing the same direction, you take the length between the optical centers, divide it by the difference in x positions in the images, and multiply it with the focal length of the camera.
in a matrix:
[alpha_u, s, u_0;
0 , alpha_v, v_0 ;
0,0,1]
What are the variables alpha_u, alpha_v,s,u_0,v_0
alpha u and v are the pixel reselution of the image plane, s the skew, u_0 and v_0 are the optical centre.
The skew is often zero.
What are some diffrent apporches to calibration?
Using a well known 3D structure at known 3D position.
Auto-calibration(Needs multiple veiws, cna be achived by moving the camera)
Planar object at multiple locations, for example multiple images of a checkerbord
What size is P? (P = KAH)
3x4 matrix
If we have M (a 3D Point) and P, can we compute m (2D point on image plane)? If we can, how is it done?
m = P * M
If we have m (2D point on image plane) and P, can we compute M (3D point)?
No, but we can find a the vector the point lies on