问题
I'm confused about the way I should make the "features extraction " method I want to use SVMs to apply "Object recognition" in images , There's a sample in Emgu's examples that holds an XML file contains the features of a cat ! and I've been trying since a week to know how they did it and what methods they used and I came across this page http://experienceopencv.blogspot.com/2011/02/learning-deformable-models-with-latent.html that displays the steps ! It's so complicated plus couldn't do it myself I'm so lost !! can anyone tell me an appropriate method of "features extraction "Compatible with SVMs learning ? Accord has SVM example but it's on hand writing and doesn't deal with color images =( any helping links ? thanks
回答1:
all feature extraction methods are compatible with svm... u just need to choose one... select one and get the features and then input these features into svm.... explanation of what is feature extraction is here http://en.wikipedia.org/wiki/Feature_extraction
回答2:
You need to concentrate on the gabor filter, which is an advanced extractor for face recognition and object recognition.
来源：https://stackoverflow.com/questions/9328231/how-to-extract-features-from-image-for-classification-and-object-recognition