FeatureDetector with mask input (third parameter)

asked 2013-04-19 09:36:00 -0600

JohannesZ
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Hi there,

I am trying to use the FeatureDetector with SIFT/SURF. Using it without a mask, just like:

detector->detect(cv::Mat& input, std::vector<cv::keypoint>& keypoints) works perfect for me.

I am getting in problems when I try to use an additional mask. The documentation tells me to use a "8-bit integer matrix with non-zero values"

const Mat& mask=Mat()

Unfortunately, I do not understand what data type is meant here. Is this a CV_8U or CV_8S? I have tried several times, but I always get a segmentation fault.

Could you please help me what I am doing wrong? Thanks a lot! Johannes

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answered 2013-07-07 07:00:40 -0600

pheips

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It was a bug in the OpenCV, that according to the issue tracker should be fixed in 2.4.6. The check if keypoints are in the mask area has wrongly be done with Scale-Space Coordinates of the keypoints.

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answered 2013-04-19 09:50:35 -0600

Guanta
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I guess your matrix need to be of type CV_8UC1, ie. Mat mask = cv::Mat::zeros(rows, cols, CV_8UC1), or easier: just use Mat1b mask = cv::Mat1b::zeros(rows,cols), then set the areas to one where you would like to detect keypoints.

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Hi, thanks for your fast anwer! CV_8UC1 or the Mat1b does no work... I get an segmentation fault again.

The mask should have the same dimensionsions as the input image, right?

JohannesZ ( 2013-04-19 10:03:22 -0600 )edit

yes, hmm, if it's really integer (which doesn't make much sense in my eyes) you could try CV_32SC1, or Mat1i, respectively.

Guanta ( 2013-04-19 10:23:26 -0600 )edit

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