OpenCV euclidean distance between two vectors

Question

I want to calculate the euclidean distance between two vectors (or two Matrx rows, doesn't matter). Is there a good function for that in OpenCV?

berak · Accepted Answer · 2014-04-16T10:05:54.670

28

yes.

Mat a,b; // num of rows/cols/channels does not matter, they just have to be equal for both

double dist = norm(a,b,NORM_L2);

edited Apr 16 '14 at 10:05

answered Apr 16 '14 at 09:53

berak

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And the two matrices necessarily need to have one row only? Is that correct? – farahm Apr 16 '14 at 09:59

score 4 · Answer 2 · answered Apr 24 '19 at 06:04

4

Same for python :

    dist = cv2.norm(pts - dst, cv2.NORM_L2)

answered Apr 24 '19 at 06:04

ZettaCircl

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score 1 · Answer 3 · edited May 23 '17 at 10:31

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Source: OpenCV, C++: Distance between two points

Mat pts1(nPts, 1, CV_8UC2), pts2(nPts, 1, CV_8UC2);
// populate them
Mat diffPts = pts1-pts2;
Mat ptsx, ptsy;
// split your points in x and y vectors. maybe separate them from start
Mat dist;
magnitude(ptsx, ptsy, dist); // voila!

edited May 23 '17 at 10:31

Community

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answered Nov 06 '14 at 21:53

rafaoc

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Why do you need `diffPts` variable? – Scott May 21 '20 at 02:23
@Sherzod. This answer was a long time ago that I do not remember exactly. However, what I can see from the code is, after you compute diffPts, you can extract the x part into ptsx and the y part into ptsy. Finally, you can use the magnitude function – rafaoc May 23 '20 at 15:17

OpenCV euclidean distance between two vectors

3 Answers3

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