In Facial Expression Recognition Systems (FERS), only particular regions of the face are utilized for discrimination. The areas of the eyes, eyebrows, nose, and mouth are the most important features in any FERS. Applying facial features descriptors such as the local binary pattern (LBP) on such areas results in an effective and efficient FERS. In this paper, we propose an automatic facial expre...

In this paper we propose a novel facial feature tracker, which integrates model-free and model-based method to reliably track dense facial features with complex non-rigid motions in low quality video sequence. The tracker consists the mouth motion model part and the enhanced KLT tracker part. There are three key elements in our algorithms: dense facial feature tracking, noise removal with globa...

rabson-mendenhall syndrome is a rare genetic disorder characterized by growth retardation, dysmorphisms, lack of subcutaneous fat, acanthosis nigricans, enlarged genitalia, hirsutism, dysplastic dentition, coarse facial features, paradoxical fasting hypoglycemia, postprandial hyperglycemia, extreme hyperinsulinemia and pineal hyperplasia. herein, we described a 10- year-old girl with physical f...

Facial attractiveness has long been argued upon varied emphases by philosophers, artists, psychologists and biologists. A number of studies empirically investigated how facial attractiveness was influenced by 2D facial characteristics, such as symmetry, averageness and golden ratio. However, few implementations of facial beauty assessment were based on 3D facial features. The purpose of this pa...

Between 20% and 35% of patients with systemic sarcoidosis have skin lesions. One of the unusual cutaneous presentations of sarcoidosis is a granulomatous tattoo reaction that may present alone or with other features of sarcoidosis. We present a case of sarcoidosis whom presented with multiple nodules on tattood skin accompanied with facial pulsy, parotid enlargement and uveitis.

In this paper, we consider the problem of robust localization of faces and some of their facial features. The task arises e.g. in the medical field of visual analysis of facial paresis. We detect faces and facial features by means of appropriate DCT coefficients that we obtain by neatly using the coding capabilities of a JPEG hardware compressor. Beside an anthropometric localization approach w...

It is challenging to track multiple facial features simultaneously when rich expressions are presented on a face. We propose a twostep solution. In the first step, several independent condensation-style particle filters are utilized to track each facial feature in the temporal domain. Particle filters are very effective for visual tracking problems; however multiple independent trackers ignore ...

The detection of facial features is a necessary step for a wide range of applications e.g. person veriication, lipreading and model-based face coding. Due to changes in illumination, visual angle and facial expressions , the variability of facial features in their appearance is high. A robust approach to facial feature detection has to handle these variations. In this framework, we present an a...

We introduce a linear regression-based projection for multi-view facial expressions recognition (MFER) based on sparse features. While facial expression recognition (FER) approaches have become popular in frontal or near to frontal views, few papers demonstrate their results on arbitrary views of facial expressions. Our model relies on a new method for multi-view facial expression recognition, ...

We developed a novel system consisting of two modules, statistics-based synthesis and nonphotorealistic rendering (NPR), to synthesize caricatures of exaggerative facial features and other particular characteristics, such as beards or nevus. The statistics-based synthesis module can exaggerate shapes and positions of facial features based on non-linear exaggerative rates determined automaticall...