This approach proposed a system for the recognition of the facial expression, which can be using cross-correlation of optical flow and mathematical models from the facial points. That defined these facial points of interest in the first frame of an input face sequence image, which utilized manually marker. The facial points were automatically tracked by using a cross-correlation based on optica...

A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a exible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many application...

A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a exible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many application...

In this paper we propose a face recognition system based on local features. Interesting feature points in the face image are located by Gabor filters, which gives us an automatic system that is not dependent on accurate detection of facial features. The feature points are typically located at positions with high information content (such as facial features), and at each of these positions we ex...

A new approach to the generation of a feature-point-driven facial animation is presented. In the proposed approach, a hypothetical face is used to control the animation of a face model. The hypothetical face is constructed by connecting some predefined facial feature points to create a net so that each facet of the net is represented by a Coon’s surface. Deformation of the face model is control...

Robustness and speed are primary considerations when developing deformation methodologies for animatable mesh objects. The goal of this paper is to present such a robust and fast geometric mesh deformation algorithm. The algorithm is feature points based i.e. it can be applied to enable the animation of various mesh objects defined by the placement of their feature points. As a specific applica...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

The new MPEG-4 standard, scheduled to become an International Standard in February 1999, will include support not only for natural video and audio, but also for synthetic graphics and sounds. In particular, representation of human faces and bodies will be supported. In the current draft specification of the standard [MPEG-N1901, MPEG-N1902] Facial Animation Parameters (FAPs) and Facial Definiti...

Accurate 3D tracking of facial feature points from one monocular video sequence is appealing for many applications in human-machine interaction. In this work facial feature points are tracked with a Kanade-LucasTomasi (KLT) feature tracker and the tracking results are linked with a 3D Active Shape Model (ASM). Thus, the efficient Gauss-Newton method is not solving for the shift of each facial f...

This article presents a feature-based framework to automatically track 18 facial landmarks for emotion recognition and emotional dynamic analysis. With a new way of using multi-kernel learning, we combine two methods: the first matches facial feature points between consecutive images and the second uses an offline learning of the facial landmark appearance. Matching points results in a jitter-f...