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 | 1 | initial version |
I don't think any OpenCV stereo algorithms allows to use more than 1 pair of images. StereoSGBM is designed to work with 2 images only. I'm also not aware of any available stereo software that works with many image pairs taken from the same points with varying lighting conditions.
Potentially SGBM can be changed to use more than 1 pair of images (assuming all pairs are taken from the same camera positions). One step in SGBM algorithm is to compute correspondence score between a block of pixels on the left image with a block of pixels on the right. It should be sufficient to change only this step of the algorithm, so that correspondence between blocks of pixel on each image pair is taken into account. And it can be good research topic to find out what's the best way to combine correspondence scores from many image pairs (e.g. take minimum score, or maybe sum of scores from each image pair?). But this requires some code change on SGBM algorithm.
| | 2 | No.2 Revision |
I don't think any OpenCV stereo algorithms allows to use more than 1 pair of images. StereoSGBM is designed to work with 2 images only. I'm also not aware of any available stereo software that works with many image pairs taken from the same points locations but with varying lighting conditions.
Potentially SGBM can be changed to use more than 1 pair of images (assuming all pairs are taken from the same camera positions). One step in SGBM algorithm is to compute correspondence score between a block of pixels on the left image with a block of pixels on the right. It should be sufficient to change only this step of the algorithm, so that correspondence between blocks of pixel on each image pair is taken into account. And it can be good research topic to find out what's the best way to combine correspondence scores from many image pairs (e.g. take minimum score, or maybe sum of scores from each image pair?). But this requires some code change on SGBM algorithm.
