MATLAB: HOG feature extraction for 112×92

Computer Vision Toolboxhog feature

person = 5; [hogFeature, visualization]= … extractHOGFeatures(read(training(person),1)); figure This is the code for face detection. The code extracts the first image of a person. the image size is 112×92. In the workspace the hog feature shows 1×4680, for different dimension of image the hog feature value changes. I am unable to understand the changes of HOG feature. Can anyone help me please

Best Answer

Did you read the corresponding docs already? See: https://www.mathworks.com/help/vision/ref/extracthogfeatures.html#outputarg_features . Which detail is not clear yet? It would not be efficient to rephrase the complete help text.

Related Solutions

MATLAB: How to save SIFT feature descriptor as an one dimensional vector.

feature_vector = [size(descriptors,1); size(descriptors,2); size(locs,1); double(descriptors(:)); locs(:)];

However, it appears that the number of descriptors output depends in part on image content, so the size of the feature vector would depend upon the image content. That is not suitable: feature vectors need to be of consistent size. You will need to figure out how to deal with that.

MATLAB: How to get features by extracthogfeatures function

If I understand what you writed the Number of overlapping cells between adjacent blocks is the half (50%) and the blolck size is [16,16] and this parametrs are the default parametrs so you can delete this parametrs from the syntax.

Best Answer

Related Solutions

MATLAB: How to save SIFT feature descriptor as an one dimensional vector.

MATLAB: How to get features by extracthogfeatures function

Related Question