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Hello,

I couldn´t find an implementation of RANSAC algorithm on GPU in OpenCV, but only the CPU version - findHomography. When using low distance values, it takes a huge number of iterations to acquire desired confidence level and the execution time is increasing a lot. I am using it to make a better distinction between similar images(neighbor frames of video) and therefore lower distance values are desired.

My questions:

Will the algorithm be implemented for GPU in near future? Is it worth the time and possible speed-up to implement it by myself?

If anyone is familiar with some reliable GPU implementation of RANSAC outside of OpenCV, that could also be of use.

Thanks!

Hello,

I couldn´t find an implementation of RANSAC algorithm on GPU in OpenCV, but only the CPU version - findHomography. findFundamentalMat. When using low distance values, it takes a huge number of iterations to acquire desired confidence level and the execution time is increasing a lot. I am using it to make a better distinction between similar images(neighbor frames of video) and therefore lower distance values are desired.

My questions:

Will the algorithm be implemented for GPU in near future? Is it worth the time and possible speed-up to implement it by myself?

If anyone is familiar with some reliable GPU implementation of RANSAC outside of OpenCV, that could also be of use.

Thanks!