CODEWITHSUNDEEP
image-processingopencvmachine-learningpattern-matchingcomputer-vision
user14212751423542536436346364
user14212751423542536436346364

Reputation: 53

FernDescriptorMatch - how to use it? how it works?

How to use FERN descriptor matcher in OpenCV? Does it take as an input keypoints extracted by some algrithm (sift/surf?) or it calculates everything by itself?

edit:
I'm trying to apply it do database of images

fernmatcher->add(all_images, all_keypoints);
fernmatcher->train();

there are 20 images, in total less than 8MB, i extract keypoints using SURF. Memory usage jumps to 2.6GB and training takes who knows how long...

Upvotes: 0

Views: 1078

Answers (1)

G453
G453

Reputation: 1456

FERN is not different from rest of the matchers. Here is a sample code for using FERN as Key point Descriptor Matcher.

int octaves= 3;
int octaveLayers=2;
bool upright=false;
double hessianThreshold=0;
std::vector<KeyPoint> keypoints_1,keypoints_2;
SurfFeatureDetector detector1( hessianThreshold, octaves, octaveLayers, upright );
detector1.detect( image1, keypoints_1 );
detector1.detect( image2, keypoints_2 );
std::vector< DMatch > matches;
FernDescriptorMatcher matcher;
matcher.match(image1,keypoints_1,image2,keypoints_2,matches);
Mat img_matches;
drawMatches( templat_img, keypoints_1,tempimg, keypoints_2,matches,  img_matches,Scalar::all(-1), Scalar::all(-1),vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);
imshow( "Fern Matches", img_matches);
waitKey(0);

*But But my suggestion is use FAST which is faster compared to FERN and also FERN can be used to train a set of images with keypoints and the trained FERN can be used as classifier just like all other.

Upvotes: 1

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