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Learn more about Teams This is what i get for now. Rectified, but in fish eye way. Anyway rectified for sure, but have many holes. Disparity matching algorithm is SGBM. WLS filter sigma is 2.1, lambda is 30000. Black regions are holes.

I am referring official opencv site which says Disparity map post-filtering and it is using DisparityWLSFilter extensively. But I wonder how it works internally and want to read theoretical paper regarding this implementation . I want to know what Sigma and Lambda does, and how it will filter my image.

And, is there any other good disparity filter that i can use? WLS filter cannot fill the 'holes' effectively. Or, any algorithm that is easy to use or easy to implement, or library that is not GPL?

Thanks for your comment but I doubt that i could get any answer from the sole author.. anyway request was sent. Better try than nothing. Thanks for reminding me that. What i found so far is This Link and another Link but not sure also – minimanimo Mar 17, 2016 at 9:15

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