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Expression based face recognition has been gaining more and more attentions recently. Most traditional expression based face recognition can perform recognition where the probe and gallery have same expressions. In this paper, we propose to use different expressions for recognition. Our proposal exploits the temporal order in the video and extracts the identity signature from deformation and motion...
This paper presents preliminary findings using thermal infrared imaging for the detection of the human face vasculature network at the skin surface and the generation of thermal facial signatures. A thermal infrared camera with reasonable sensitivity provides the ability to image superficial blood vessels on the human skin. The experiment presented here consists of the image processing techniques...
We review the literatures on human evolution, organizational communication, and CMC, focusing on research addressing CMC support for the transmission of socio-emotional signals, Theory of Mind (ToM), and social capital. We develop a social capital theory of communication in organizations, linking the use of CMC for the transmission of socio-emotional signals with one's ability to develop social capital,...
We combine and extend the previous work on DCT-based image signatures and face detection to determine the visual saliency. To this end, we transfer the scalar definition of image signatures to quaternion images and thus introduce a novel saliency method using quaternion type-II DCT image signatures. Furthermore, we use MCT-based face detection to model the important influence of faces on the visual...
In this paper, we propose to segment the human face using marker based watershed segmentation, an improved version of watershed segmentation. This algorithm uses the concept of markers as a pre requisite to determine the segments. The proposed method extracts facial features, most importantly the eyes and the lips. The successful feature extraction of the human face can contribute in a significant...
In this paper, we propose an effective method for frontal face detection. The proposed method uses a template matching with the genetic algorithm (GA). This method uses a template which shows a distribution of average intensities on a human face. The template and some candidate areas which are searched by GA are compared, and theirs similarities are calculated. The proposed method is robust to geometric...
Modern artificial face detection shows impressive performance in a variety of application areas. This success comes at the cost of supervised training, using large-scale databases provided by human experts. In this paper, we propose a face detection system based on Organic Computing [vdM08] paradigms that acquires necessary domain knowledge autonomously and learns a conceptual model of the human face/head...
In order for robots to be a part of human society, their social accceptance is an important issue if smooth interaction with humans is to be achieved. We propose a modified social force model that allows robots to move naturally like humans, based on estimated human motion and face pose. We add to the previous model the effect of the force due to face pose, in order to predict human motion and compute...
This paper presents the propensities of preference for Human Robot Interaction (HRI) according to different personalities and facial expressions of humans and robots. This study is based on two types of personalities: extroverted and introverted. According to the personality, the facial expressions are distinguished to express extroversion and introversion. The design of experiment is a 3 (participant's...
Head motion occurs naturally and in synchrony with speech during human dialogue communication, and may carry paralinguistic information, such as intentions, attitudes and emotions. Therefore, natural-looking head motion by a robot is important for smooth human-robot interaction. Based on rules inferred from analyses of the relationship between head motion and dialogue acts, this paper proposes a model...
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks. Recently face recognition is attracting much attention in the society of network multimedia information access. Face recognition...
Agent-based simulation is very popular for its ability to approximate real life problems in an efficient way. To assure that the developed model is sufficienlty correct, validation needs to be performed. This contribution proposes a new approach to validate agent-based simulation models. To this end, a novel face validation technique is presented that enables systematic plausibility checks by a human...
To improve the retrieval accuracy of content-based image retrieval systems, it is important to reduce the “semantic gap” between the visual features and the richness of human semantics. Overexposure in the facial area of an image, which makes parts of the face look unnaturally white, directly affects the impression of the image. If the impression of a human image can be automatically calculated on...
Level of detail (LoD) techniques provide efficient and established tools to represent 3D models, while these are well documented and applied with proven results there is not much research and proven results that offer a solution that is both compatible with MPEG-4 (Motion Picture Experts Group) facial animation standard, and which considers a human face mesh simplification. In this paper we present...
In this paper, a novel vision system is proposed to estimate attention of people from rich visual clues for social robot to perform natural interactions with multiple participants in public environments. The vision detection and recognition modules include multi-person detection and tracking, upper-body pose recognition, face and gaze detection, lip motion analysis for speaking recognition, and facial...
Facial gesture recognition is one of the main topics in HRI. We have developed a novel algorithm who allows to detect emotional states, like happiness, sadness or emotionless. A humanoid robot is able to detect these states with a ratio of success of 83% and interact in consequence. We use Active Appearance Models (AAMs) to determinate face features and classify the emotions using neural evolution,...
Human gender and age recognition is an emerging application for intelligent video analysis. However, offline pretrained recognition models often show degraded performance in a specific application scenario. To alleviate this issue, this paper presents a client-server system design adapting gender and age recognition models for mobile platforms. Specifically, the client program on Android smart phones...
This paper presents a real-time image processing of human face identification for home service robot (HSR). This vision system is set up by two individual sub-systems. The first one is face detection and tracking sub-system based on adaptive skin detector, condensation filter with parallel computing particles, and Haar-like classifier. And a simple and fast motion predictor is also proposed for face...
A novel framework for unsupervised multi-faces tracking and recognition is built on Detection-Tracking-Recognition (DTR) approach. This framework proposed a hybrid face detector for real-time face tracking which is robust to occlusions and posture changes. Faces acquired during unsupervised detection stage will be further processed by SIFT operator in order to cluster face sequence into certain groups...
Increasing research and development during these years has explored Human-Robot interactions especially for the challenge of the service robot. While service robots are becoming popular, these robots are just focusing into a specific tasks, and most of them are not ready prepare for the unpredictability of human environments. The efforts to develop more reliable robots that could interact with the...
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