@ptrblck thank you for your response. The paper that these features belongs to, says the number of features are from (100-608) depending upon the size of image. It means that they are counting height*width? I’d like to minimize the number of features to 36 (i-e using clustering). That’s why I am asking if I could make these features to 36 using h*w?