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In our daily life we develop many activities that result imperceptible for the majority of us because the null effort that they represent to develop them, however, when we most develop those activities with any type of restriction, they acquire a higher level of difficulty. One simple activity is the communication process; we develop it in an easy way during almost all day, however, for people with...
Command extraction from human beings becomes easier for a machine if it can analyze the non verbal ways of communication such as emotions. This paper focuses on improving the efficiency of extracting emotion from human facial expression images. The features that were extracted in this experiment were obtained from JAFFE (Japanese Female Facial Expression) database which includes 213 images of different...
The aim of this work is to explore the usefulness of face semantic segmentation for head pose estimation. We implement a multi-class face segmentation algorithm and we train a model for each considered pose. Given a new test image, the probabilities associated to face parts by the different models are used as the only information for estimating the head orientation. A simple algorithm is proposed...
Vascular networks in infrared faces are created due to the blood flow under the skin. Variations in blood flow in the blood vessels cause temperature difference, which produces the vascular networks. This paper deals with binary classification of various infrared facial expressions using vascular network. The classification has been performed using Support Vector Machine classifier on five types of...
Biometric characteristics allow identifying an individual based on who they are. This paper focuses on using the face of a subject in electronic identity documents. The International Civil Aviation Organization (ICAO) has endorsed the adoption of the face as the globally interoperable biometric characteristic. Soon afterward, the International Standard Organization (ISO) proposed the ISO/IEC 19794-5...
A method for face parametrical statistical features extraction from intensity fragments and segments is considered. Pixel coordinates means are calculated. An algorithm for face classification is proposed. Illustration of features and classification process for given features are presented.
In order to further improve the recognition rate and computing efficiency of modular 2DPCA in face recognition, an improved modular 2DPCA method based on image segmentation is proposed. Firstly, segmentation of threshold value optimization is utilized to segment face image of training samples into several non-overlapping sub-image spaces so that the pixel number has uniform distribution in each sub-image...
Face recognition has certain impediments due to alignment, illumination, facial expressions. Several techniques have been proposed to rectify these challenges. In recent years, many researchers have addressed challenges due to ageing, plastic surgery, twin identification, make-up and hairstyle. But, the impact of weight variation on face recognition has not been explored much. In contrary to other...
In this paper, a modified algorithm for the detection of nasal and temporal eye corners is presented. The algorithm is a modification of the Santos and Proenka Method. In the first step, we detect the face and the eyes using classifiers based on Haar-like features. We then segment out the sclera, from the detected eye region. From the segmented sclera, we segment out an approximate eyelid contour...
In this paper, Face recognition system using improved artificial bee colony algorithm is proposed. This system works on two different phases, named as Extraction phase and Recognition phase. In the extraction phase, sub-window extraction algorithm is applied on different face images collected from different sources. Then applied artificial bee colony algorithm to reduce number of sub windows, taken...
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids, lashes and eyebrows. It is available over a wide range of acquisition distances, representing a trade-off between the whole face (which can be occluded at close distances)...
Estimating eye centers is an important computer vision problem with several applications. In the past, eye center localization was constrained by the use of special hardware such as infrared cameras. Methods that estimate eye centers based on visible light have also been suggested in the literature, but these methods are inaccurate when used with low resolution images and wide ranges of lighting....
The quality of images often is affected adversely by illumination and contrast,leading to the need for illumination compensation in image enhancement. The main objective of this paper is to describe how to correct the local contrast in different area of the image so that the invisible features in the dark and bright areas are brought out and made visible to the human eye. Considering the fact that...
Facial hair detection and segmentation play an important role in forensic facial analysis. In this paper, we propose a fast, robust, fully automatic and self-training system for beard/moustache detection and segmentation in challenging facial images. In order to overcome the limitations of illumination, facial hair color and near-clear shaving, our facial hair detection self-learns a transformation...
This paper presents a face segmentation technique that works on a hierarchical region-based representation of the image. The algorithm bases its analysis strategy on a reduced set of regions that represent the image content at different scales of resolution. For each region, a set of simple one-class classifiers that rely on different shape, color and texture attributes is evaluated. The outputs of...
This paper describes a face recognition algorithm that extracts the eyes, nostrils and mouth features from cumulative distribution function (CDF) by applying Otsu thresholding. The algorithm, which is inspired by the probability of white pixels of binary facial image, has been tested using the BioID frontal face large database in different illuminations, expressions and lighting conditions. Illumination...
Face identification and detection has become very popular, interesting and wide field of current research area. As there are several algorithms for face detection exist but none of the algorithms globally detect all sorts of human faces among the different colors and intensities in a given picture. In this paper, a novel method for face detection technique has been described. Here, the centers of...
We present a real-time algorithm that segments unstructured and highly cluttered scenes. The algorithm robustly separates objects of unknown shape in congested scenes of stacked and partially occluded objects. The model-free approach finds smooth surface patches, using a depth image from a Kinect camera, which are subsequently combined to form highly probable object hypotheses. The real-time capabilities...
This paper provides an example of the face recognition using SIFT-PCA method and impact of Graph Based segmentation algorithm on recognition rate. Principle component analysis (PCA) is a multivariate technique that analyzes a face data in which observation are described by several inter-correlated dependent variables. The goal is to extract the important information from the face data, to represent...
There has been significant progress in improving the performance of computer-based face recognition algorithms over the last decade. Although algorithms have been tested and compared extensively with each other, there has been remarkably little work comparing the accuracy of computer-based human face recognition systems. We compared eight state-of-the-art face recognition algorithms with three different...
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