Face recognition is one of the most researched subjects in computer vision. The attention it receives due to complexity problem. models have deal with a wide variety intraclass variations such as pose variations, facial expressions, effect aging, and natural occlusion different illumination. This challenge often referred pose-illumination-expression. Our brain performs face efficiently because ...

In this paper, a novel Patch Geodesic Derivative Pattern (PGDP) describing the texture map of a face through its shape data is proposed. Geodesic adjusted textures are encoded into derivative patterns for similarity measurement between two 3D images with different pose and expression variations. An extensive experimental investigation is conducted using the publicly available Bosphorus and BU-3...

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...