What is facial expression analysis? What is Facial Expression? Facial expressions are the facial changes in response to a person‘s internal emotional states, interntions, or social communications. Role of facial expressions Almost the most powerful, natural, and immediate way (for human beings) to communicate emotions and intentions Face can express emotion sooner than people verbalize or realize feelings Faces and facial expressions are an important aspect in interpersonal communication and man-machine interfaces Facial Expressions Facial expression(s): nonverbal communication
2021-02-18
Introduction What are facial features? Facial features are referred to as salient parts of a face region which carry meaningful information. E.g. eye, eyeblow, nose, mouth A.k.a facial landmarks What is facial feature detection?
2021-02-18
DeepFace 1 Main idea Learn a deep (7 layers) NN (20 million parameters) on 4 million identity labeled face images directly on RGB pixels. Alignment Use 6 fiducial points for 2D warp
2021-02-15
Local Appearance-based Face Recognition 🎯 Objective: To mitigate the effect of expression, illumination, and occlusion variations by performing local analysis and by fusing the outputs of extracted local features at the feature or at the decision level.
2021-02-15
Face Recognition for Human-Computer Interaction (HCI) Main Problem The variations between the images of the same face due to illumination and viewing direction are almost always larger than image variations due to change in face identity.
2021-02-04
Google Colab Notebook Open in Google Colab
2020-12-19
Face recognition is a series of several related problems: Face detection: Look at a picture and find all the faces in it Focus on each face and be able to understand that even if a face is turned in a weird direction or in bad lighting, it is still the same person.
2020-12-19
2020-12-19
Motivation Idea: Use a search-window to scan over an image Train a classifier to decide whether the search windows contains a face or not? Detection Simple neuron model Topologies Parameters Adjustable Parameters are
2020-11-13
TL;DR Different color spaces and classifiers can be used Models: histograms, Gaussian Models, Mixture of Gaussians Model Histogram-backprojection / Histogram matching Bayes classifier Discriminative Classifiers (ANN, SVM) Bayesian classifier and ANN seem to work well
2020-11-06