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Face recognition using 3D images is an important area of research due to its ability to solve problems faced by 2D images like pose changes. In this chapter, a 3D face range recognition and compression system is proposed and the effect of using compressed 3D range images on the recognition rate is investigated. Compression is used to reduce the file size for faster transmission and is performed using...
Audio-visual recognition system is becoming popular because it overcomes certain problems of traditional audio-only recognition system. However, difficulties due to visual variations in video sequence can significantly degrade the recognition performance of the system. This problem can be further complicated when more than one visual variation happen at the same time. Although several databases have...
A common 3D face recognition method is to align two faces together and perform surface matching. Although to achieve a good alignment is a time consuming task, this step is vital to obtain a good recognition rate using surface matching. Therefore, in this paper, a 3D face recognition method that does not require vigorous alignment is proposed. This method consists of using the surface normal of the...
Various methods have been used for face recognition over the past few years. The motivation for the continuous work on face recognition is to obtain a method which is able to recognize different angles and poses of faces accurately and efficiently. Currently, faces are identified using either two dimensional (2D) images or three dimensional (3D) range images. In this paper, a face recognition method...
Face recognition has become an important area of research in recent years, especially for security purposes. In this paper, we present a method to detect important features of the face for alignment purposes in a face recognition system. These features, which are the eye corners, mouth corners and nose tip, are detected using a combination of 2D and 3D images. The 2D image is used to locate the area...
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