HOG feature extraction for 112x92

2017 3 26
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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 112x92. In the workspace the hog feature shows 1x4680, 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

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Jan
Jan 2017-3-26

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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.

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Tousif Ahmed
Tousif Ahmed 2017-3-27
BlocksPerImage = floor((size(I)./CellSize – BlockSize)./(BlockSize – BlockOverlap) + 1)
Image size is 112x92, Cell size is 8x8; block size is 4; blockoverlap is 2. I know the answer for blockperimage is 130 but cannot get that by using the formula.
georges matar
georges matar 2018-2-16
because you are using blocksize as a number 4,,, instead, replace blockSize by the array [2 2]

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