How to use Hog featurs in face recognition?
조회 수: 1 (최근 30일)
이전 댓글 표시
Hi, Im trying to write program to face recognition using SVM and Hog featurs. I saw this code for adding Hog feature of image 'im' to the classifier database:
trainingFeatures(featureCount,:) = extractHOGFeatures(im);
Now the output of 'extractHOGFeatures' is a vector of 1 dimension, so how could SVM work with this kind of data? I d'ont know a lot on SVM, but as far as I know its work on 2-dimensional data to find a hyperline, so how its can work with 1-dim vector?
and another question, suppose I have few images of face that I need to recognized so I can train my classifier to find that face in a query image. How I can teach him to ignore other faces? I can set some threshold for acuuracy between the classifier and the query image?
thank you.
댓글 수: 0
답변 (0개)
참고 항목
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!