AbstractÐWe propose a method for automatically classifying facial images based on labeled elastic graph matching, a 2D Gabor wavelet representation, and linear discriminant analysis. Results of tests with three image sets are presented for the classification of sex, ªrace,º and expression. A visual

of the information technology people. In this paper we proposed facial image Watermarking methods that can embedded fingerprint level-3 features information into host facial images. This scheme has the advantage that in addition to facial matching, the recovered fingerprint level-3 features during the decoding can

In facial image analysis, image resolution is an important factor which has great influence on the performance of face recognition systems. As for lowresolution face recognition problem, traditional methods usually carry out super-resolution firstly before passing the super-resolved image to a face

Abstract- Facial image processing is an area of re-search that holds an important key to future advances in intelligent human-to-computer and human-to-human sys-tems. This paper presents an overview of this research. It also addresses some of the latest research directions and applications, as well

This paper presents a theory and practical computations for visual age classification from facial images. Currently, the theory has only beenimplemented to classify input images into one of three agegroups: babies, young adults, and senior adults. The computations are based on cranio-facial

We present a new approach to the analysis of dynamic facial images for the purposes of estimating and resynthesizing dynamic facial expressions. The approach exploits a sophisticated generatire model of the human face originally developed for realistic facial animation. The face model, which may

This paper addresses the problem for Reconstruction of Partially damaged Human Facial image. This is an ill posed problem. The process of reconstruction goes through a series of basic operations in image processing. Images are combination of shape and texture, so the approach is to reconstruct

-Pittsburgh AU-Coded Face Expression Image Database, which currently includes 2105 digitized image sequences from 182 adult subjects of varying ethnicity, performing multiple tokens of most primary FACS action units. This database is the most comprehensive test-bed to date for comparative studies of facial

Abstract. While features used for texture analysis have been successfully used in some biometric applications, only quite few works have considered them in facial image analysis. Texture-based region descriptors can be very useful in recognizing faces and facial expressions, detecting faces

Abstract—This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a