1. Briefly, what approach or combination of approaches did you test in each of your submitted runs?  KB_lab: This system extracts the facial image from each cut scene frame using the Haar-like operator, and then eliminates noise images (non-facial image) using SVM. Next, SIFT features are detected from the true facial image, and the similarity of the facial image is calculated using the SIFT f...

Faces are among the most important classes of objects computers have to deal with. Consequently, automatic processing and recognition of facial images have attracted considerable attention in the last decades. In this chapter we focus on a strict view of facial image processing, i.e. transforming an input facial image into another and involving no high-level semantic classification like face re...

Human face detection plays an important role in application such as video surveillance, human computer interface, face recognition and face image database management. Automatic detection of facial features of image is an important stage of various image interpretation works, such as facial expression recognition, face recognition, facial features tracking and 3D face modeling etc. Detection of ...

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...

We examined the effects of a small talking facial image on (a) emotional responses as indexed by self-report and facial electromyography (EMG) and (b) attention and engagement as indexed by so-called respiratory sinus arrhythmia (RSA) when viewing/listening to financial news from a simulated pocket PC among 36 subjects. The results showed that a talking facial image was rated as more pleasant a...

The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...

This article reviews conventional and novel methods for facial-image identification from forensic aspects. Among the conventional approaches, three methods, i.e., morphological comparison of facial features, anthropometric indices comparison, and face-to-face superimposition, are generally used. The methods most commonly used in caseworks are in the order of morphological comparison, anthropome...

Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was proposed for facial recognition; however, it turns out that the AAM has many advantages as regards continuous facial expression recognition. We have implemented a continuous facial expression recognition system using...

| Many multimedia applications require the synthesis of facial expressions. We demonstrate the synthesis of di erent degrees of various 2D grayscale facial expressions using the Radial Basis Function (RBF) neural network. The RBF network is used to generate spatial displacement of a set of facial feature points as in multidimensional density interpolation. We have implemented two RBF networks f...

The visual perception of model-based coding is usually not good enough. We develop a facial expression cloning system which can make a 3-D facial model lifelike, and transfer a person’s subtle facial change to another’s by using the expression ratio image (ERI). An expressive 3-D facial model will be shown. On the other hand, we intend to achieve an intelligent system which can make a 3-D facia...