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3 removals
53 lines
20 additions
72 lines
const cv = require('../');
const cv = require('opencv4nodejs');


const matchFeatures = ({ img1, img2, detector, matchFunc }) => {
const matchFeatures = ({ img1, img2, detector, matchFunc }) => {
// detect keypoints
// detect keypoints
const keyPoints1 = detector.detect(img1);
const keyPoints1 = detector.detect(img1);
const keyPoints2 = detector.detect(img2);
const keyPoints2 = detector.detect(img2);


// compute feature descriptors
// compute feature descriptors
const descriptors1 = detector.compute(img1, keyPoints1);
const descriptors1 = detector.compute(img1, keyPoints1);
const descriptors2 = detector.compute(img2, keyPoints2);
const descriptors2 = detector.compute(img2, keyPoints2);


// match the feature descriptors
// match the feature descriptors
const matches = matchFunc(descriptors1, descriptors2);
const matches = matchFunc(descriptors1, descriptors2);


// only keep good matches
// only keep good matches
const bestN = 40;
const bestN = 40;
const bestMatches = matches.sort(
const bestMatches = matches.sort(
(match1, match2) => match1.distance - match2.distance
(match1, match2) => match1.distance - match2.distance
).slice(0, bestN);
).slice(0, bestN);


matchedPoints1 = [];
matchedPoints2 = [];
for( let i = 0; i < bestMatches.length; i++ ){
//-- Get the keypoints from the good matches
matchedPoints1.push( keyPoints1[ bestMatches[i].queryIdx ].point );
matchedPoints2.push( keyPoints2[ bestMatches[i].trainIdx ].point );
}

const homography = cv.findHomography(matchedPoints1, matchedPoints2).homography;

const srcCorners = new cv.Mat([[
[0, 0, 1],
[img1.cols, 0, 1],
[img1.cols, img1.rows, 1],
[0, img1.rows, 1]
]], cv.CV_32F3C);
const dstCoordinates = srcCorners.perspectiveTransform(homography)
console.log(dstCoordinates);

return cv.drawMatches(
return cv.drawMatches(
img1,
img1,
img2,
img2,
keyPoints1,
keyPoints1,
keyPoints2,
keyPoints2,
bestMatches
bestMatches
);
);
};
};


const img1 = cv.imread('../data/s0.jpg');
const img1 = cv.imread('s0.jpg');
const img2 = cv.imread('../data/s1.jpg');
const img2 = cv.imread('s1.jpg');


// check if opencv compiled with extra modules and nonfree
// check if opencv compiled with extra modules and nonfree
if (cv.xmodules.xfeatures2d) {
if (cv.xmodules.xfeatures2d) {
const siftMatchesImg = matchFeatures({
const siftMatchesImg = matchFeatures({
img1,
img1,
img2,
img2,
detector: new cv.SIFTDetector({ nFeatures: 2000 }),
detector: new cv.SIFTDetector({ nFeatures: 2000 }),
matchFunc: cv.matchFlannBased
matchFunc: cv.matchFlannBased
});
});
cv.imshowWait('SIFT matches', siftMatchesImg);
cv.imshowWait('SIFT matches', siftMatchesImg);
} else {
} else {
console.log('skipping SIFT matches');
console.log('skipping SIFT matches');
}
}


const orbMatchesImg = matchFeatures({
const orbMatchesImg = matchFeatures({
img1,
img1,
img2,
img2,
detector: new cv.ORBDetector(),
detector: new cv.ORBDetector(),
matchFunc: cv.matchBruteForceHamming
matchFunc: cv.matchBruteForceHamming
});
});
cv.imshowWait('ORB matches', orbMatchesImg);
cv.imshowWait('ORB matches', orbMatchesImg);


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