Creating a feature vector
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I have calculated texture, color and shape features on an image.But those just add up to 12 features. I read that people extract 1000 features and such. Could someone please explain to me how do i increase the number of features? And then how do i save them to form a feature vector?
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Laurent
2013 年 10 月 1 日
It depends on which features you are interested in, for example mean, std, max intensity, min intensity, and so on. Obviously there are ways to extract 1000s of such features from images (or objects in these images), but it doesn't make much sense to do so without knowing the purpose.
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Image Analyst
2013 年 10 月 1 日
Nobody says you need to have thousands of features. In fact most times there aren't that many needed. You only need as many as you truly need, not more. Maybe you can get by with 1 or 2. Can you attach your image and say what you are trying to do with it?
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Image Analyst
2013 年 10 月 7 日
I don't work in face recognition so you'll have to go here to see what kinds of feature vectors people are building: http://iris.usc.edu/Vision-Notes/bibliography/contentspeople.html#Face%20Recognition,%20Detection,%20Tracking,%20Gesture%20Recognition,%20Fingerprints,%20Biometrics You can make a feature vector simply by stringing together a bunch of numbers into a vector, where each number represents one of the measurements you have made, for example the skin color, the width of the mouth, the spacing between the eyes, etc.
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