Название: Face Analysis Under Uncontrolled Conditions: From Face Detection to Expression Recognition
Автор: Romain Belmonte, Benjamin Allaert
Издательство: Wiley-ISTE
Год: 2022
Страниц: 312
Язык: английский
Формат: pdf (true), epub
Размер: 38.6 MB
Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression, illumination, occlusion, motion blur) make it a difficult problem to solve.Identifying the facial structure is trivial for humans. From the perspective of an algorithm, an image is represented by an array of pixels. From these pixels, the aim is to provide enough abstraction to reach a semantic level that allows facial landmarks to be retrieved. However, it is difficult for an algorithm to have this kind of high level of understanding. To overcome this semantic gap, two solutions have been proposed. The first one, the traditional approach, uses domain-specific knowledge to transform raw data into features (i.e. feature engineering). These features provide useful input for the prediction task, performed by Machine Learning (ML) algorithms.