Automatic facial expression recognition for novel individuals from 3D face data is a challenging task in pattern analysis. This paper describes a feature selection process for pose-invariant 3D facial expression recognition. The process provides a lower dimensional subspace representation, which is optimized to improve the classification accuracy, retrieved from geometrical localization of faci...

We present an automatic face alignment system, whose objective is to localize the facial feature points in images. Our system is robust against bad initialization, facial expression and pose variation. It can converge from inaccurate initialization by the face detector or feature-pt detector. And as our system is tolerant of expression and pose variation, the alignment results can be used to es...

In this paper, a real-time method that automatically extracts facial feature points is proposed. Based upon this technique, we also present a procedure to encode facial images efficiently. For clarity, the proposed method is divided into analysis part and synthesis part. The analysis part includes face tracking, feature extraction, and pose estimation. All of these procedures are applicable for...

In this paper, we report our experiments on feature-based facial expression recognition within an architecture based on a two-layer perceptron. We investigate the use of two types of features extracted from face images: the geometric positions of a set of fiducial points on a face, and a set of multi-scale and multi-orientation Gabor wavelet coefficients at these points. They can be used either...

Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...

This paper introduces an interactive expression editing system that allows users to design facial expressions easily. Currently, popular example-based methods construct face models based on the examples of target face. The shortcoming of these methods is that they cannot create expressions for novel faces: target faces not previously recorded in the database. We propose a solution to overcome t...

Facial feature point tracking is a research area that can be used in human-computer interaction (HCI), facial expression analysis, fatigue detection, etc. In this paper, a statistical method for facial feature point tracking is proposed. Feature point tracking is a challenging topic in case of uncertain data because of noise and/or occlusions. With this motivation, a graphical model that incorp...

This study develops a 3D facial reconstruction system, which consists of five modules, using the orthographic projection model to approximate the perspective projection model. The first module identifies a number of feature points on the face and tracks these feature points over a sequence of facial images by the optical flow technique. The second module applies the factorization method to the ...

This paper proposes an efficient face recognition system that uses salient facial features extracted from eyes, mouth and nose of a face image. SIFT descriptor is used to determine all facial keypoints from each landmark. These feature points are considered to obtain a relaxation graph. Given two relaxations graphs from a pair of faces, matching scores between two corresponding feature points h...

In this study, we propose a novel approach to facial expression recognition that capitalizes on the anatomical structure of the human face. We model human face with a high–polygon wireframe model that embeds all major muscles. Influence regions of facial muscles are estimated through a semi– automatic customization process. These regions are projected to the image plane to determine feature poi...