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In this paper, we developed a KANSEI communication system between human and robot based on emotional synchronization to human emotional state using facial expression recognition. And we conducted experiments to evaluate the effectiveness of the proposed system. The robot recognizes human emotion through their facial expressions, and synchronizes its own emotion with the recognized emotion dynamically...
This paper suggests an algorithm of reactive eye movement and corresponding facial expressions to make a robot lifelike for improving human and robot interaction (HRI). Difference-image process, afterimage process, concentration process, and eyelid movement process are suggested to determine the amount of reactive eye movement from single camera input images. Then, a simple emotion generation process...
This paper describes an approach which allow a humanoid robot to automatically acquire vocalization capability by learning from a human tutor. The proposed algorithm can, at the same time, synthesize speech utterances from unrestricted text and generate facial movements of the humanoid head synchronized with the generated speech. The algorithm uses fuzzy articulatory rules, derived from the International...
Human tracking is an important function to an automatic surveillance system using a vision sensor. Human face is one of the most significant features to detect person(s) in an image. However, face is not always observed from a single camera. Therefore, it is difficult to identify a person exactly in an image due to the variety of poses. This paper describes a method for automatic human tracking based...
Real-time hand and face localization is a challenging problem in many application scenarios such as face and gesture recognition in computer vision and robotics. This paper proposes a robust method which can locate multiple faces and hands simultaneously under the changing environment of light illumination and complex background in real time by using skin-color detection and K-means in conjunction...
This paper introduces a novel face movement based human machine interface (HMI) that uses jaw clenching and eye closing movements to control an electric powered wheelchair (EPW). A multi-modality HMI derived from both facial EMG and face image information is developed and testified in comparison with a traditional joystick control in an indoor corridor environment. In the experiment, ten repetitive...
The goal of this research is to develop a face robot with a new facial expression mechanism using a small number of actuators. Many designs of face robots have been investigated and published in the past. Most face robots can generate a variety of expressions by moving a large number of control points underneath the artificial skin. The number of control points is usually larger than 10, and each...
The entire process of face detection, identification and localization of faces should preferably be almost orientation or rotation invariant. The present paper aims to design one optimal Back Propagation (BP) Network model to perform these face identification tasks. The task is partially independent of orientation or rotation of the faces in the image. Also the identification rate of the faces is...
The paper proposes a novel method for human face extraction from color images, characterized by uncontrolled illumination conditions and complex backgrounds. The method incorporates stationary Haar wavelet transform & proximity influence for prominent boundaries detection and watershed transform, proximity influence & morphological operations to separate foreground / background along with...
Human is unique and is an ancestral gift. Biometric recognition system can use race in identifying the human globally with a particular identity. This paper proposes an algorithm for classification of people into three major races namely Caucasoid, Negroid and Mongoloid, which can easily be integrated into any face recognition system. Firstly, the proposed classification method extracts the distinct...
In the field of human-robot interaction, it is the key problem for the robot to know the information of the interactive partner. Without obtaining these information the robot couldn't realize what is the partner means. Currently most of the interactive robots have vision sensors to catch human face, and then perform some reactions to the interactive partner. But it could only access under strict conditions...
To improve the attractiveness of a face, intuitively, one can drive the face approaching some beautiful faces. There are two major problem to solve for implementing the intuitive solution. One problem is that how to define and discover suitable beauty prototypes. Another is that how to determine the balance between the original face and the beauty prototype to produce the desired face. In this paper,...
In this paper, we propose to detect human centric objects, including face, head shoulder, upper body, left body, right body and whole body, which can provide essential information to locate humans in highly crowed scenes. In the literature, the approaches to detect multi-class objects are either taking each class independently to learn and apply its classifier successively or taking all classes as...
This paper presents a method of estimation of facial expression intensity from a sequence of binary facial images obtained from video. The binarization has been done using a neuro-visual model of figure ground segregation. The Local Binary Pattern (LBP) is taken as characteristic feature of a face with expression. This pattern gets evolved in the temporal domain over the sequence. The dynamics of...
In this paper a method of automatic real-time capable continual facial expression recognition becomes described and compared with a similarly classification. Whereas the classification maps each image into one of the 7 basic emotions (neutral, happy, sad, disgust, surprise, fear, anger) and the regression maps each image into an one-dimensional emotion space. Both methods, the continual recognition...
This paper introduces a novel face recognition method based on Adaptive Patch Alignment Based Local Binary Patterns (APALBP). LBP is one of the most effective features to face recognition. However, the effectiveness of this feature greatly relies on face alignment, i.e., since LBP is in fact an image feature rather than face feature, pose difference will directly influence the recognition performance...
Film post-production nowadays can be, and most often is, done in the digital domain using computers. There are plenty of tools available for 3D CGI effects, 2D image manipulation of individual frames, color correction and grading, audio-visual synchronization and video editing. Every task, however, still requires a considerable amount of human interaction. In this paper, we will provide an overview...
Post-disaster reconstruction includes two aspects: material reconstruction and psychological reconstruction. We all know that people's behavior is controlled by their mental forces. So in a sense, we can consider the psychological reconstruction as a basic foundation of the material reconstruction. But the reality in the process of post-disaster reconstruction is that many people emphasize on the...
While considerable research have been conducted on age-wise age estimation using skin detection most often with other visual cues, relatively little research has looked closely at the subject. In this paper, we present a new framework for interpreting facial image patterns that can be employed in categorical age estimation. The aim is to propose a novel approach to investigate and implement a child...
Quality data recorded in varied realistic environments is vital for effective human face related research. Currently available datasets for human facial expression analysis have been generated in highly controlled lab environments. We present a new static facial expression database Static Facial Expressions in the Wild (SFEW) extracted from a temporal facial expressions database Acted Facial Expressions...
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