This is to reduce failure cases, caused by noisy point clouds.
In particular, we experienced that sometimes the disparity map of the selected blob contains some noisy sub-blobs (usually belonging to the scene background). The filter currently implemented is not enough for detecting this type of failure, since it requires an a-priori tuning of the parameters.
We need to find a new filtering approach to be overlapped on the old filter.
This is to reduce failure cases, caused by noisy point clouds.
In particular, we experienced that sometimes the disparity map of the selected blob contains some noisy sub-blobs (usually belonging to the scene background). The filter currently implemented is not enough for detecting this type of failure, since it requires an a-priori tuning of the parameters.
We need to find a new filtering approach to be overlapped on the old filter.