What is error disparity?
It counts the number of differences between estimated disparity values and ground-truth values that exceed a threshold. A small error is counted in the same way that a large one by computing this measure.
What is uncrossed disparity?
Uncrossed disparity: An object farther away from you than the horoptor has uncrossed disparities. You’d have to uncross (diverge) your eyes to fixate on it. It lies further to the right from the right eye’s viewpoint than from the left eye’s viewpoint.
What is disparity map?
Disparity map refers to the apparent pixel difference or motion between a pair of stereo images. To experience this, try closing one of your eyes and then rapidly close it while opening the other. Objects that are close to you will appear to jump a significant distance while objects further away will move very little.
Is it possible to get 1mm accuracy in depth estimation?
Yes, you definitely can achieve 1mm (and much better) depth estimation accuracy with a stereo rig (heck, you can do stereo recon with a pair of microscopes). Stereo-based industrial inspection systems with accuracies in the 0.1 mm range are in routine use, and have been since the early 1990’s at least.
How does accuracy of stereo vision depend on algorithm?
More than the factors you mentioned above, the accuracy of your stereo will depend on the specifics of the algorithm. It is up to an algorithm to validate depth (important step after stereo estimation) and gracefully patch the holes in textureless areas.
How does accuracy as a function of depth depend?
The accuracy will also depend on sensor noise and sensor’s dynamic range. Finally you have to ask your question about accuracy as a function of depth since d=f*B/z, where B is a baseline between cameras, f is focal length in pixels and z is the distance along optical axis. Thus there is a strong dependence of accuracy on the baseline and distance.
How is the estimation of disparity affected by lighting?
It’s a one-shot thing. Worse, the estimation of disparity is, in all nontrivial cases, affected by the (a-priori unknown) geometry and surface properties of the object being analyzed, and by their interaction with the lighting.