Research in the areas of 3-D face recognition and 3-D facial expression analysis has
intensified in recent years. However, most research has been focused on 3-D static data …

3D face scans have been widely used for face modeling and analysis. Due to the fact that
face scans provide variable point clouds across frames, they may not capture complete …

Traditionally, facial expression recognition (FER) issues have been studied mostly based on
modalities of 2D images, 2D videos, and 3D static models. In this paper, we propose a …

In this paper, we present an effective approach for spatiotemporal face recognition from
videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting …

3D facial range models can be created by static range scanners or real-time dynamic 3D
imaging systems. One of the major obstacles for analyzing such data is lack of …

In this paper, we present the computational tools and a hardware prototype for 3D face
recognition. Full automation is provided through the use of advanced multistage alignment …

While many works consider moving faces only as collections of frames and apply still image-
based methods, recent developments indicate that excellent results can be obtained using …

3D Face Processing: Modeling, Analysis and Synthesis introduces the frontiers of 3D face
processing techniques. It reviews existing 3D face processing techniques, including …

Facial information plays an important role in human communication, eg, rich and nuanced
facial expressions effectively convey emotions. Traditional data such as 2D facial images …

We propose a novel feature extraction approach for 3D facial expression recognition by
incorporating non-rigid registration in face-model-free analysis, which in turn makes feasible …