HOW to combine between SURF features and HOG features
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im doing my experiment using matlab i want code thats combine between SURF features and HOG features
3 Kommentare
abdur rahman
am 26 Nov. 2015
hey friend,did you finish your experiment? I am also working on the same project.
Chidiebere Ike
am 17 Mär. 2018
Hello Ahmed, can you share the code (combination of SURF features and HOG features) to my email chidosky4ril@yahoo.com. Thank you
chetna kaushal
am 5 Aug. 2019
hy . can you please help me out too
Antworten (3)
Dima Lisin
am 4 Dez. 2015
0 Stimmen
Hi Ahmed,
It would help if you could tell us more about what you are trying to do.
The extractHOGFeatures function in the Computer Vision System Toolbox has two different modes. The most common mode is to compute a single HOG descriptor for the entire image. The second mode is to compute multiple HOG descriptors centered around a given set of image points, similar to what extractFeatures does for SURF or FREAK descriptors.
As to how to combine SURF and HOG, that depends on what it is you are trying to do. If you are using the bag-of-features approach for image classification, you may want to concatenate the bag-of-features histogram with a HOG vector computed over the entire image. If you want to match features, you can try concatenating individual SURF descriptors with HOG descriptors. Or you can extract SURF descriptors from one set of points, and HOG descriptors from another.
1 Kommentar
sonia carole
am 4 Jan. 2016
Thanks Dima Lisin for your answer I want to extract HOG features for image classification using bag-of features. How can make the concatenation between the queries HOG feature vector and database HOG feature vector
swapnali ware
am 16 Jul. 2019
0 Stimmen
can I use comination for HOG and SURF features for character recognition for better performance??
SATISH KUMAR
am 19 Dez. 2019
0 Stimmen
how to combine SURF and HOG
here is the simple solution as per my knowledge and i have used also
surf = [surf_features];
HOG = [hog_features];;
combined_Features = [surf_features,hog_features];
now you have the simple concatenated feature set.
hope this will help you.
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