Depth Mapping Algorithm Performance Analysis: Difference between revisions
Jump to navigation
Jump to search
imported>Student2017 |
imported>Student2017 |
||
| Line 5: | Line 5: | ||
== Background == | == Background == | ||
'''Disparity | '''Disparity Maps''' | ||
Stereo image pair → rectification to preserve only horizontal differences. | Stereo image pair → rectification to preserve only horizontal differences. | ||
| Line 12: | Line 12: | ||
How to get these differences (disparities)? | How to get these differences (disparities)? | ||
[[File:background_stereo.png|200px]] | |||
'''Disparity and Depth''' | |||
Disparity and depth can be related by the following equation (where x-x' is disparity, z is depth, f is the focal length, and B is the interocular distance). | Disparity and depth can be related by the following equation (where x-x' is disparity, z is depth, f is the focal length, and B is the interocular distance). | ||
Revision as of 01:47, 15 December 2017
Introduction
We will implement various disparity estimation algorithms and compare their performance.
Background
Disparity Maps
Stereo image pair → rectification to preserve only horizontal differences.
Use these differences to determine if objects are closer or farther.
How to get these differences (disparities)?
Disparity and Depth
Disparity and depth can be related by the following equation (where x-x' is disparity, z is depth, f is the focal length, and B is the interocular distance).
Methods
Results
Conclusions
Appendix
You can write math equations as follows:
You can include images as follows (you will need to upload the image first using the toolbox on the left bar.):
