communication mediumEngineering power : bulletin of the Croatian Academy of
Face analysis systems have recently gained popularity due to the large number of potential applications across a wide range of industries. Various types of information can be extracted from an image of a face including: face location and size, location of characteristic facial landmark points, 3D head pose, facial expression and emotion, gaze direction and biometric information (i.e. age, gender and race). Most of these problems are solved using machine learning techniques based on large sets of training samples. Furthermore, information from these different tasks is often complementary and can be used to enhance the accuracy of the algorithms. A systematic overview of current approaches to face analysis tasks is presented as an introduction to this growing research field.