This paper proposes a method of automatic facial reconstruction from a facial image partially corrupted by noise or occlusion. There are two key features of this method; the one is the automatic extraction of the correspondences ∗ corresponding author Facial Image Reconstruction from a Corrupted Image by SVDD 1213 between the corrupted input face and reference face without additional manual tas...

In this paper a novel technique to extract facial features for recognition in frequency domain using Discrete Fourier Transform (DFT) is presented. In pre processing phase facial tilt and varying image background challenges have been addressed to improve the success rate. Varying facial expressions within class have been minimised by using decimation algorithm. Experiments on ORL and YALE datas...

A computer imaging system was introduced into the facial reconstruction process. The system, which consists of the image processing unit for skull morphometry and the image editing unit for compositing facial components on the skull images, was an original construction. The image processor generates the framework for building a face onto the digitized skull image. For reconstructing a facial im...

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...

Facial expression analysis is an active area in human-computer interaction. Many techniques of facial expression analysis have been proposed that try to make the interaction tighter and more efficient. The essence of facial expression analysis is to recognize facial actions or to perceive human emotion through the changes of the face surface. Generally, there are three main steps in analyzing f...

This paper describes a new method for creating visually realistic moving facial image sequences that retain an actor's personality (individuality, expression and characteristic movements) while altering the facial appearance along a certain specified facial dimension. We combine two existing technologies, facial feature tracking and facial image transformation, to create the sequences. Examples...

This paper presents a fast algorithm for detecting facial parts such as nose, eyes and lips in an image by using lifting dyadic wavelet filters. Free parameters in the lifting filters are learned so as to maximize the cosine of an angle between a vector whose components are the lifting filters and a vector of pixels in the facial part. Applying the learned filter to a test image, facial parts i...

In this paper, an Eigenvector based system has been presented to recognize facial expressions from digital facial images. In the approach, firstly the images were acquired and cropping of five significant portions from the image was performed to extract and store the Eigenvectors specific to the expressions. The Eigenvectors for the test images were also computed, and finally the input facial i...

An emotion detection algorithm using frontal facial image is presented in this paper. The algorithm is composed of three main stages: image processing stage and facial feature extraction stage, and emotion detection stage. In image processing stage, the face region and facial component is extracted by using fuzzy color filter, virtual face model, and histogram analysis method. The features for ...

A technique that automatically locates specific facial points on an unknown face image is presented. This technique uses log Gabor wavelets to represent each facial point by embedding local surrounding features. Using a sample log Gabor response of a facial point, locations on the unknown face image that appear similar to the sample facial point are detected. We identify facial points by employ...