In this paper, we present a novel hybrid feature for face recognition. This hybrid feature is created by combining the traditional holistic facial appearance feature with a recently proposed facial dynamics feature. We measure and compare the inherent discriminating power of this hybrid feature and the holistic facial appearance feature by the statistical separability between genuine feature di...

We present a system for tracking facial expression and head pose with one camera and no special markers, and generating a face animation to imitate these expressions simultaneously. The tracking is based on Gabor wavelet coefficients (jets) of the facial feature points, a saccadic searching strategy, and a model-based adjustment. Using Principal Components Analysis (PCA), we established an expr...

Facial expression recognition using various approaches (appearance, geometric or a combination of them) is an interesting and challenging research topic. It has many potential applications in humancomputer interaction, social robots, deceit detection and behavior monitoring. This paper proposes an automatic system for facial expression recognition which consists of a hybrid approach (appearance...

We developed a facial caricaturing robot named "COOPER", that was exhibited at the Prototype Robot Exhibition of EXPO 2005, Aichi Japan during 11 days from Jun.9 to Jun.19. COOPER watches the face of a person seated at the chair, obtains facial images, and analyzes the images to extract 251 feature points to generate his facial line drawings with deformation. It is noted that the caricature was...

In the face recognition problem, one of the most critical sources of variation is facial expression. This paper presents a system to overcome this issue by utilizing facial expression simulations on realistic and animatable face models that are in compliance with MPEG-4 specifications. In our system, firstly, 3D frontal face scans of the users in neutral expression and with closed mouth are tak...

The purpose of this paper is to evaluate the results of various Independent Component Analysis (ICA) algorithms used for facial feature extraction. Face recognition algorithms results are mainly based on feature extractions from facial images. We have done various experimentations for facial feature extraction using ICA with global and local features from facial images. We have explored FastICA...

We address the problem of interactive facial feature localization from a single image. Our goal is to obtain an accurate segmentation of facial features on high-resolution images under a variety of pose, expression, and lighting conditions. Although there has been significant work in facial feature localization, we are addressing a new application area, namely to facilitate intelligent high-qua...

OBJECTIVES To evaluate the potential for machine learning techniques to identify objective criteria for classifying vertical facial deformity. METHODS 19 parameters were determined from 131 lateral skull radiographs. Classifications were induced from raw data with simple visualisation, C5.0 and Kohonen feature maps; and using a Point Distribution Model (PDM) of shape templates comprising poin...

Age is one of the essential factors in establishing the identity of the person. Estimation of the human age is a procedure adopted by anthropologists, archaeologists and forensic scientists. Compared with other cognition problems, age estimation from face images is still very challenging. Predicting and estimating the age from facial images with makeup is an interesting task in digital entertai...

This paper presents a novel method for face alignment under unknown head poses and nonrigid warp, within the framework of markov random field. The proposed method learns a 3D face shape model comprised of 31 facial features and a texture model for each facial feature from a 3D face database. The models are combined to serve as the unary, pairwise and high order constraints of the markov random ...