Ethnicity identification of face images is of interest in many areas of application, but existing methods are few and limited. This paper presents a fusion scheme that uses block-based uniform local binary patterns and Haar wavelet transform to combine local and global features. In particular, the LL subband coefficients of the whole face are fused with the histograms of uniform local binary pa...

How do we acquire a mental representation of our own face? Recently, synchronous, but not asynchronous, interpersonal multisensory stimulation (IMS) between one's own and another person's face has been used to evoke changes in self-identification (enfacement illusion). We investigated the conscious experience of these changes with principal component analyses (PCA) that revealed that while the ...

This paper presents an evaluation of several 3D face recognizers on the Bosphorus database which was gathered for studies on expression and pose invariant face analysis. We provide identification results of three 3D face recognition algorithms, namely generic face template based ICP approach, one-to-all ICP approach, and depth image-based Principal Component Analysis (PCA) method. All of these ...

We investigate the problem of automatically identifying speaking faces for video analysis using only the visual information. Intuitively, mouth should be first accurately located in each face, but this is extremely challenging due to the complicated condition in video, such as irregular lighting, changing face poses and low resolution etc. Even though we get the accurate mouth location, it’s st...

A novel and uniform edge based framework for both face identification and verification is presented in this paper. This paper proposes the feature extraction algorithm based on different directional information and multiscale information of face. Proposed feature extraction algorithm extract discrete wavelet transform edge features to determine facial features. DWT acts as a main contributor in...

We present a face identification algorithm that automatically processes an unknown image by locating and identifying the face. The heart of the algorithm is the use of pursuit filters. A matching pursuit filter is an adapted wavelet expansion, where the expansion is adapted to both the data and the pattern recognition problem being addressed. For identification, the filters find the features th...

This paper describes the original FaMar method of user's identification. The method bases on the fusion of Wavelet Transform (WT) and Hidden Markov Models (HMM), which is used for three parts of the face (eyes, nose, and mouth) separately.

Automatic face recognition has received significant performance improvement by developing specialised facial image representations. On the other hand, generic object recognition has rarely been applied to the face recognition. Spatial pyramid pooling of features encoded by an over-complete dictionary has been the key component of many state-of-the-art image classification systems. Inspired by i...

This paper addresses the issue of face and lip tracking via chromatic detector, CCL algorithm and canny edge detector. It aims to track face and lip region from static color images including frames read from videos, which is expected to be an important part of the robust and reliable person identification in the field of computer forensics. We use the M2VTS face database and pictures took from ...

The task of the police officer investigating a crime, or of the forensic anthropologist working with human remains, is to establish an identity of a criminal or of a victim. This often involves working with images of faces – building a composite image from the memory of a witness to the crime, seeking CCTV images of the person or persons who might have committed the crime, or building a model o...