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Myzhar avatar Myzhar commented on May 29, 2024

Hi @violet17
the starting point for you is the rectify example.
Once you have the rectified images right_rect and left_rect you can directly use them with one of the OpenCV stereo matcher to obtain the disparity map:
https://docs.opencv.org/trunk/dd/d86/group__stereo.html

This is an example:
https://resources.oreilly.com/examples/9781786469717/blob/master/OpenCV3ComputerVisionApplicationProgrammingCookbookThirdEdition_Code/Chapter11/stereoMatcher.cpp#L144-173

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violet17 avatar violet17 commented on May 29, 2024

@Myzhar Thanks for the solution. I will have a try.

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violet17 avatar violet17 commented on May 29, 2024

Hi @violet17
the starting point for you is the rectify example.
Once you have the rectified images right_rect and left_rect you can directly use them with one of the OpenCV stereo matcher to obtain the disparity map:
https://docs.opencv.org/trunk/dd/d86/group__stereo.html

This is an example:
https://resources.oreilly.com/examples/9781786469717/blob/master/OpenCV3ComputerVisionApplicationProgrammingCookbookThirdEdition_Code/Chapter11/stereoMatcher.cpp#L144-173

Hi @Myzhar , Can I directly compute the depth map using this formula: Z = B*f/disparity? Do I need to add some scales?
How to get the value of distance of two cameras B?

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