How object tracking differs from object detection Tracking algorithms are much faster than detection algorithms because to track an object, the algorithm already knows what it looks like in order t...
Face Recognition - Dlib
What is Face Recognition - Dlib? Feature point values are extracted once more from the faces detected through face detection. Normalize these feature point values to find the face with the shortest...
LBPH
What is LBPH? LBP (Local Binary Patterns) is a feature extraction technique used to recognize or analyze textures in the field of image processing. LBPH is a technique that combines LBP and a hist...
Face Recognition
What is Face Recognition? With the facial images already extracted, cropped, resized, and usually converted to grayscale, the face recognition algorithm is responsible for finding characteristics...
Cascade Classifier
Cascade Classifier Step 1 Prepare two sets of images. The first set consists of positive images, while the second set consists of negative images. Step 2 Send all the images to a machine lea...
AdaBoost
AdaBoost AdaBoost selects features from the whole image, from the top left to the bottom right, until it is possible to find a face. The image below shows examples of features and how the image co...
HOG
HOG(Histograms of Oriented Gradients) What is HOG? HOG extracts the edges of the image by color variation and consequently identifies the object based on the format. There are two important co...
Face Detection
What is Face Detection? It has the objective of finding the faces (location and size) in an image and possibly extract them to be used by the face recognition algorithm. Algorithms There are two...