Introduction to face recognition and face detectionStep 1: Face detectionImplementing face detection using OpenCVLoading a Haar or LBP detector for object or face detectionAccessing the webcamDetecting an object using the Haar or LBP ClassifierGrayscale color conversionShrinking the camera imageHistogram equalizationDetecting the faceStep 2: Face preprocessingEye detectionEye search regionsGeometrical transformationSeparate histogram equalization for left and right sidesSmoothingElliptical maskStep 3: Collecting faces and learning from themCollecting preprocessed faces for trainingTraining the face recognition system from collected facesViewing the learned knowledgeAverage faceEigenvalues, Eigenfaces, and FisherfacesStep 4: Face recognitionFace identification: Recognizing people from their faceFace verification: Validating that it is the claimed personFinishing touches: Saving and loading filesFinishing touches: Making a nice and interactive GUIDrawing the GUI elementsStartup modeDetection modeCollection modeTraining modeRecognition modeChecking and handling mouse clicks