How to verify the accuracy of solvePnP return values?
Hello , I have used solvePnP to find the Pose of object and I am getting some results for rvet and tvet. Now I wanted to know how accurate they are.
How to I compute the accuracy of retunred values of solvePnP? 1 method I found was re-projection error.
But is there any way to generate test cases:
Data need to generate as test cases:
(image points, object points)
(expected rvet, expected tvet)
Result: (computed rvet, computed tvet) - return values from solvePnP with each test case that we generated.
And now comparing the ((expected rvet, expected tvet) and (computed rvet, computed tvet) to measure the accuracy for different flags available for solvePnP.
Are there any ways/software/tools that helps me to generate accurate test cases.(Varieties of test cases may include nose environment, distance of object from camera varies, planar object points, non co-planar object points .. etc) ?
