Revision history [back]

Basically I am implementing a system of object detection. I have already implemenet SIFT and ORB for detection.

Now I would like to add HOG matching. I can extract HOG feature by doing:

Mat image(imread("object.jpg",1));
vector<float> features;
vector<Point> locations;
HOGDescriptor *hog = new HOGDescriptor();
hog->compute(image,featjres,Size(8,8), Size(32,32),locations);

Now I would like to use this information to find a match in a query image containg the object, I don't want to use SVM. Any sample code?

Basically I am implementing a system of object detection. I have already implemenet SIFT and ORB for detection.

Now I would like to add HOG matching. I can extract HOG feature by doing:

Mat image(imread("object.jpg",1));
vector<float> features;
vector<Point> locations;
HOGDescriptor *hog = new HOGDescriptor();
hog->compute(image,featjres,Size(8,8), Size(32,32),locations);

Now I would like to use this information to find a match in a query image containg the object, I don't want to use SVM. Any sample code?

Basically I am implementing a system of object detection. I have already implemenet SIFT and ORB for detection.

Now I would like to add HOG matching. I can extract HOG feature by doing:

Mat image(imread("object.jpg",1));
vector<float> features;
vector<Point> locations;
HOGDescriptor *hog = new HOGDescriptor();
hog->compute(image,featjres,Size(8,8), Size(32,32),locations);

Now I would like to use this information to find a match in a query image containg the object, I don't want to use SVM. Any sample code?

And if the SVM is the only way, how can I train it with my model image? (Sample code if you can thanks)

Basically I am implementing a system of object detection. I have already implemenet SIFT and ORB for detection.

Now I would like to add HOG matching. I can extract HOG feature by doing:

Mat image(imread("object.jpg",1));
vector<float> features;
vector<Point> locations;
HOGDescriptor *hog = new HOGDescriptor();
hog->compute(image,featjres,Size(8,8), Size(32,32),locations);

Now I would like to use this information to find a match in a query image containg the object, I don't want to use SVM. Any sample code?

And if the SVM is the only way, how can I train it with my model image? (Sample code if you can thanks)

I wonder why it is not possibile to match it like we were matching SIFT descriptor and then doing a sort of ratio test =/
The SVM classifier needs training and it time consuming

Basically I am implementing a system of object detection. I have already implemenet SIFT and ORB for detection.

Now I would like to add HOG matching. I can extract HOG feature by doing:

Mat image(imread("object.jpg",1));
vector<float> features;
vector<Point> locations;
HOGDescriptor *hog = new HOGDescriptor();
hog->compute(image,featjres,Size(8,8), Size(32,32),locations);

Now I would like to use this information to find a match in a query image containg the object, I don't want to use SVM. Any sample code?

And if the SVM is the only way, how can I train it with my model image? (Sample code if you can thanks)

I wonder why it is not possibile to match it like we were matching SIFT descriptor and then doing a sort of ratio test =/
The SVM classifier needs training and it time consuming