Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...

This paper proposes a methodology to reconstruct 3D facial expressions with motion capture data. Featurepoint based facial animation provides easy control of expression usually by moving surface points using mathematical deformation. However it does not support the high quality of surface animation of the face where the feature points are not present. In this paper, we focus on animating a 3D f...

We propose a novel end-to-end deep architecture for face landmark detection, based on a deep convolutional and deconvolutional network followed by carefully designed recurrent network structures. The pipeline of this architecture consists of three parts. Through the first part, we encode an input face image to resolution-preserved deconvolutional feature maps via a deep network with stacked con...

In this paper, we explore methods of robustly extracting fiducial facial feature points – an important process for numerous facial image processing tasks. We consider various methods to first detect face, then facial features and finally salient facial feature points. Colour-based models are analysed and their overall unsuitability for this task is summarised. The bulk of the report is then ded...

This paper addresses the problem of facial feature detection and tracking in real-time using a single active camera. The variable parameters of the camera (i.e pan, tilt and zoom) are changed adaptively to track the face of the agent in successive frames and detect the facial features which may be used for facial expression analysis for surveillance or mesh generation for animation purposes, at...

Emotion plays an important role in human communications. We construct a framework for multi-modal fusion emotion recognition. Facial expression features and speech features are respectively extracted from image sequences and speech signals. In order to locate and track facial feature points, we construct an Active Appearance Model for facial images with all kinds of expressions. Facial Animatio...

Detectingpredefined facial featurepoints in ahuman face image is awell studiedproblem.Despite the impressive achievements that have been made, it is still open under unconstrained environments, with variations of illumination, expression, head pose, as well as partial occlusions. This paper proposed a novel method to locate facial feature points under the variations mentioned above. Support vec...

Object detection technique generally could not localize facial features precisely because there is a tradeoff between detection robustness and facial feature support [2]. To address this problem, we propose a method to calculate probabilistic-like output for each pixel of image. This output describes the similarity of a patch of image to the training samples. The probabilistic-like output is af...

An automatic facial feature extraction algorithm is presented. The algorithm is composed of two main stages: the face region estimation stage and the feature extraction stage. In the face region estimation stage, a second-chance region growing method is adopted to estimate the face region of a target image. In the feature extraction stage, genetic search algorithms are applied to extract the fa...