Recognition of 3D facial expression dynamics

Recognition of 3D facial expression dynamics

Facial Expression Recognition Based on Structural Changes in Facial Skin

Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...

Facial Expression Recognition Based on Anatomical Structure of Human Face

Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

Automatic Facial Expression Recognition Using 3D Faces

Automatic facial expression recognition has gained much attention during the last decade because of its potential application in areas such as more engaging human-computer interfaces. Automatic facial expression recognition is a sub-area of face analysis research that is based heavily on methods of computer vision, machine learning, and image processing. Many efforts either to create a novel or...

3D Face Analysis for Facial Expression Recognition

In this paper, we investigate the person-independent 3D facial expression recognition. A 3D shape analysis is applied on local regions of 3D face scan. The correspondent regions of different faces under different expressions, are extracted and represented by a set of closed that capture their shapes. A framework is applied to quantify the deformations between curves and compute the geodesic len...