@stereomaton
Really cool, the test you perform !
Are the images you post the real size one ?
I can work to drastically improve the quality. The code I made is only for fast assessment. I don't really use variational refinement and don't stop at the last scale.
So there is room for improvement ...
Search found 4 matches
- Sun Apr 11, 2021 6:30 am
- Forum: OpenCV, Python and other image processing
- Topic: DISFlow for disparity map
- Replies: 10
- Views: 132096
- Wed Mar 10, 2021 9:18 pm
- Forum: OpenCV, Python and other image processing
- Topic: DISFlow for disparity map
- Replies: 10
- Views: 132096
Re: DISFlow for disparity map
Yes, my second question was for this case: the optical flow searches for changes in 2D, but sometimes it might find vertical component if the grayscale image had not enough information to decide (uniform zone, occlusion...). That's why I asked if we can constrain it.
No, you can't constrain it. I ...
No, you can't constrain it. I ...
- Fri Feb 26, 2021 7:23 pm
- Forum: OpenCV, Python and other image processing
- Topic: DISFlow for disparity map
- Replies: 10
- Views: 132096
Re: DISFlow for disparity map
Did you have a chance to play with it on Raspberry Pi?
Yes of course ! For know I use it in order to register 2 images in mechanics (we call it Digital Image Correlation (DIC)). Once the flow is computed, we project it on projective tranformation in order to drive an experimental tensile test ...
- Thu Feb 25, 2021 9:53 pm
- Forum: OpenCV, Python and other image processing
- Topic: DISFlow for disparity map
- Replies: 10
- Views: 132096
DISFlow for disparity map
On a simple stereo system, the stereoBM juste compute a block matching and take the horizontal displacement field find for each BM.
The code is old and not optimal. There is so much more on OpenCV !
Starting with version 4.x, you can use DISFlow, which is really performant !
here the process to ...
The code is old and not optimal. There is so much more on OpenCV !
Starting with version 4.x, you can use DISFlow, which is really performant !
here the process to ...