This paper focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes. This signature has two components: the existing patch-based features and the soft facial attributes. A deep convolutional neural network adapted from state-of-the-art networks is used to learn the soft facial attributes. Then, a signature mat...

introduction: tessier facial cleft is among the rarest facial clefts reported in literatures and there are many issues arguing about its multidisciplinary repairing techniques. tessier number 4 and 5 are extremely rare facial anomalies. there are few literatures describing these clefts and their surgical modalities. number 5 tessier cleft begins medial to oral commissure in the upper lip and ex...

Detection of facial features such as eye, nose, and mouth is an important step for many subsequent facial image analysis tasks such as face recognition. In this paper, we introduce a method to detect eye and nose fields from gray scale facial images. The Independent Components Analysis (ICA) is utilized to learn the appearance and shape of the facial feature. The regions with high response to t...

The tracking and recognition of facial activities from image or video is useful in many applications such as animation and human machine interaction. The facial activities are described in three levels. In the bottom level, the facial components are detected. In the middle level, movements in the facial components can be identified. The top level represents the facial muscle movement and human ...

Recently, oriental medicine has received attention for providing personalized medicine through consideration of the unique nature and constitution of individual patients. With the eventual goal of globalization, the current trend in oriental medicine research is the standardization by adopting western scientific methods, which could represent a scientific revolution. The purpose of this study i...

We propose an efective facial features detection method for human–robot interaction (HRI) with indoor mobile robot. In case of human-robot interaction at mobile robot, its vision system has to cope with dificult problems such as pose variations, illumination changes, and complex backgrounds, which problems mainly arise from the movement of mobile robot. In this paper, in order to overcome such ...

The understanding of an image deals with the consideration of the most banal information conveyed by each pattern. A crucial anchor for facial expression analysis is to consider not only permanent features but transient ones too. In this work we are interested by all the outcomes of transient features in the analysis of facial expressions. Three processes based on transient features are propose...

Temporal information can provide useful features for recognizing facial expressions. However, to manually design useful features requires a lot of effort. In this paper, to reduce this effort, a deep learning technique which is regarded as a tool to automatically extract useful features from raw data, is adopted. Our deep network is based on two different models. The first deep network extracts...

Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have shown an influence of features which are part of the local face context, such as hair, on these tasks. However, object-centered approaches which ignore local context dominate the research in computational vision base...

Facial ageing analysis based on 4D data (3D plus time) is much more robust to pose changes and illumination variations than using 2D image and video. The purpose of this investigation was to measure the effects of age and gender related facial changes using dynamic 3D facial scans. Experiments were carried out on the subjects, who were divided into two groups by age (15-30 years and 31-60 years...