Feature - page 2

Encoding the HOG features
What are hog features?What is HOG feature in image processing?Which are the important aspects of HOG that makes it different from other feature descr...
Using Principal Component Analysis for corner feature extraction
Can PCA be used for feature extraction?How PCA works in image feature extraction?What is PCA feature extraction?How do I choose a PCA component? Can...
Feature detectors and descriptors comparison
What is the difference between detector and descriptor?What is feature detection and description?What features are detected by feature detectors?What...
Extract Word Information From MFCC
How to extract MFCC features?What is the output of MFCC feature extraction?Why do we use MFCC feature extraction? How to extract MFCC features?The M...
Feature Selection by Filtering
What is filter feature selection?Why use filter method feature selection?Which technique is best for feature selection?What are the three types of fe...
Image processing, recognizing a small feature in a larger image
Can YOLOv5 detect small objects?How do I identify a feature in an image?How does feature matching work? Can YOLOv5 detect small objects?Considering ...
DFT, cepstrum, LPC for feature extraction
What is LPC feature extraction?Why is MFCC used for feature extraction?Is MFCC a feature extraction?What is cepstral feature? What is LPC feature ex...
A feature extraction method Principal Component Analysis (PCA)
What is PCA in feature extraction?What is PCA principal component analysis used for?Is PCA feature selection or feature extraction? What is PCA in f...
Feature level fusion
What is feature level fusion?What is fusion in biometrics? What is feature level fusion?Definition. In feature-level fusion, the feature sets origin...