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 …

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 …

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 …

In this work, we propose a dynamic texture-based approach to the recognition of facial
Action Units (AUs, atomic facial gestures) and their temporal models (ie, sequences of …

The main challenge in recognizing faces in video is effectively exploiting the multiple frames
of a face and the accompanying dynamic signature. One prominent method is based on …

It has been shown in different studies the benefits of using spatio-temporal information for
video face recognition. However, most of the existing spatio-temporal representations do not …

Existing video-based facial expression recognition techniques analyze the geometry-based
and appearance-based information in every frame as well as explore the temporal relation …

Recently, a spatiotemporal local binary pattern operator from three orthogonal planes (LBP-
TOP) was proposed for describing and recognizing dynamic textures and applied to facial …

In this paper, we address the analysis and recognition of facial expressions in continuous
videos. More precisely, we study classifiers performance that exploit head pose independent …

Recognition of facial expressions across various actors, contexts, and recording conditions
in real-world videos involves identifying local facial movements. Hence, it is important to …