Facial feature recognition has received much attention among the researchers in computer vision. This paper presents a new approach for facial feature extraction. The work can be broadly classified into two stages, face acquisition and feature extraction. Face acquisition is done by a 4D stereo camera system from Dimensional Imaging and the data is available in ‘obj’ files generated by the came...

The author presents a new face module for MASSY, the Modular Audiovisual Speech SYnthesizer [1]. Within this face module the system combines two approaches of visual speech synthesis. Although the articulation space is parameterized in terms of movements of the articulators, the visual synthesis is image based (video-realistic). The high-level visual speech synthesis generates a sequence of con...

Facial expressions are a valuable source of information that accompanies facial biometrics. Early detection of physiological and psycho-emotional data from facial expressions is linked to the situational awareness module of any advanced biometric system for personal state re/identification. In this article, a new method that utilizes both texture and geometric information of facial fiducial poi...

This paper presents an efficient method to construct optimal facial animation blendshapes from given blendshape sketches and facial motion capture data. At first, a mapping function is established between “Marker Face” of target and performer by RBF interpolating selected feature points. Sketched blendshapes are transferred to performer’s “Marker Face” by using motion vector adjustment techniqu...

A crucial part for facial expression analysis is to capture a face deformation. In this work, we are interested by the employment of 3D facial surface normals (3DFSN) to classify six basic facial expressions and the proposed approach was employed on the Bosphorus database. We constructed a Principal Component Analysis (PCA) to capture variations in facial shape due to changes in expressions usi...

In this paper, we will present a novel face recognition algorithm using 3D geometric information of the face, which is acquired using parallel stereo vision. Firstly, we present an effective method of detecting facial feature, which mainly depends on the facial skin color information in the YCbCr color space. We define the feature points for the facial feature and compute the depth data of each...

facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. in recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. as machine vision and artificial intelligence advan...

Facial feature extraction is important in many face-related applications, such as face alignment for recognition. We propose a multimodal scheme to integrate 3D (range) and 2D (intensity) information provided from a facial scan to extract the feature points. Given a face scan, the foreground is segmented from the background using the range map and the face area is detected using a real-time int...

Facial landmarks are a set of salient points, usually located on the corners, tips or mid points of the facial components. Reliable facial landmarks and their associated detection and tracking algorithms can be widely used for representing the important visual features for face registration and expression recognition. In this paper we propose an efficient and robust method for facial landmark d...

Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...