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...

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...

Despite of achieving good performance in controlled environment, the conventional 3D face recognition systems still encounter problems in handling the large variations in lighting conditions, facial expression and head pose The humans use the hybrid approach to recognize faces and therefore in this proposed method the human face recognition ability is incorporated by combining global and local ...

The area of face recognition is one the most widely researched areas in domain computer vision and biometric. This because non-intrusive nature biometric makes it comparatively more suitable for application surveillance at public places such as airports. primitive methods could not give very satisfactory performance. However, with advent machine deep learning their recognition, several major br...

Face is having unique identity amongst all other biometric traits. Face recognition is performed using 2D and 3D facial data. 3D face recognition has many advantages over 2D Face recognition. This paper represents the 3D Face recognition challenges while processing the data captured using 3D face scanners. The performance of state-of-art, Face recognition system is affected due to pose, illumin...