Recently upgraded OpenCV from 3.4.5. to OpenCV 4.2.0.
Before I followed this stitching example: https://github.com/opencv/opencv/blob/5131619a1a4d1d3a860b5da431742cc6be945332/samples/cpp/stitching_detailed.cpp (particularly line 480). After upgrading, I altered the code to align more with this newer example: https://github.com/opencv/opencv/blob/master/samples/cpp/stitching_detailed.cpp (Note line 481).
Problem is with this new computeImageFeatures
function, I am getting less detected features. Older code with same images gave me 1400+ features but computeImageFeatures
gave me exactly 500 features per image. Any ideas how to "fix" this? I believe it also causes the "Bundle Adjuster" to fail later.
According to documentation of cv::ORB::create
, default value of nfeatures
argument is 500
:
The first argument is nfeatures
, you may set the first argument to grater number like 2000
.
Here are the constructor arguments:
static Ptr<ORB> cv::ORB::create (int nfeatures = 500,
float scaleFactor = 1.2f,
int nlevels = 8,
int edgeThreshold = 31,
int firstLevel = 0,
int WTA_K = 2,
int scoreType = ORB::HARRIS_SCORE,
int patchSize = 31,
int fastThreshold = 20
)
Try modifying:
if (features_type == "orb")
{
finder = ORB::create();
}
to
if (features_type == "orb")
{
finder = ORB::create(2000);
}
In case you are not using ORB, but other type of features, read the documentation of the constructor.
I assume all types has a limiter argument.