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Face recognition is an important issue in pattern recognition. Linear discriminant analysis (LDA) has been widely used in face recognition. However, the LDA-based face recognition methods usually encountered the small sample size (SSS) problem. The SSS problem occurs when the number of samples is far smaller than the dimensionality of the sample space. Therefore, this paper proposed a modified LDA...
In this paper, the Radio-frequency identification (RFID) technology and face recognition are integrated for access control system. A rapid face detection scheme which using a set of rotated haar-like features is adopted for face detection. A normalization process is then applied to adjust the detected faces. The speeded up robust features (SURF) algorithm is used for registering the detected face...
Facial expression recognition is one of the most popular topics in emotion analysis. In this chapter, a radial basis function neural network (RBFNN) is adopted due to its superior generalization ability. It presents the proposed method, including face detection, preprocessing, feature extraction, face recognition, and the facial expression recognition. An adaptive color space switching approach is...
Dictionary learning has been applied to computer vision problems such as facial expression recognition. K-SVD is one of the state-of-the-art dictionary learning algorithms. However, K-SVD is unsupervised and focuses only on the representational power. In this paper, we adopt label-consistent K-SVD with scattering transform in facial expression recognition. In addition to reducing the reconstruction...
Face recognition is a very important topic in the field of pattern recognition. Traditional two-dimensional face recognition technologies using images taken by a single camera are easily influenced by expressions and poses resulting in low recognition accuracy. In this paper, a new three-dimensional face recognition technique is proposed. We apply a dual camera module to extract two images of simulated...
Face identification is the problem of determining whether two face images depict the same person or not. This is difficult due to variations in scale, pose, lighting, background, expression, hairstyle, and glasses. Thus, a powerful feature descriptor with local-deformation tolerance ability and discriminating capability is essential to fulfill all these variations. In this paper, we present a local...
Recently medical cosmetology has attracted significant business opportunity. Micro cosmetic surgery usually involves the minimally invasive cosmetic procedures such as non-ablative laser procedure for skin rejuvenation. However, an appropriate treatment selection for skin relies on accurate preoperative evaluation. In this paper, an automatic facial skin defects detection and recognition system is...
Cases of physical and mental diseases caused by stress and negative emotions have increased annually. Many emotion recognition methods have been proposed. Facial expression is widely used for emotion recognition. However, since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. Nerve and Physiological responses are incontrollable native response...
Skin analysis is one of the most important procedures before medical cosmetology. Most conventional skin analysis systems are semi-automatic. They often require human intervention. In this study, an automatic facial skin defect detection approach is proposed. The system first detects human face in the facial image. Based on the detected face, facial features are extracted to locate regions of interest...
Issues of friendly human-machine interfaces have driven various researches, such as face animation, face recognition, and facial expression recognition in the last decade. The success of these applications relies on the accuracy of the detected facial features. Despite that facial features may be extracted automatically by some methods, however, the effective results were obtained in certain restricted...
In our daily life, it is much easier to distinguish which person is elder between two persons than how old a person is. When inferring a person's age, we may compare his or her face with many people whose ages are known, resulting in a series of comparative results, and then we conjecture the age based on the comparisons. This process involves numerous pairwise preferences information obtained by...
Facial expression recognition is one of the most popular topics in emotion analysis. Most facial expression recognition systems are implemented using general expression models. Since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. The proposed facial expression recognition system recognizes facial expressions using the facial features of an...
Facial expression recognition is one of the most popular topics in emotion analysis. Most facial expression recognition systems are implemented by general expression models. Since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. The proposed facial expression recognition system recognizes facial expressions using facial features of the individual...
An emotion recognition system with consideration of facial expression and physiological signals is proposed in this paper. A specific designed mood induction experiment is performed to collect facial expressing images and physiological signals of subjects. We detected 14 feature points and extracted 12 facial features from facial expression images. Meanwhile, we measure the skin conductivity, finger...
In general, the principal component analysis (PCA) technique is applied to reduce the feature dimensions. In this paper, different from traditional PCAs, the PCA is used to select adequate centers for the classifier of radial basis function neural networks (RBFNN). In addition, a novel weights updating method is also included in the RBFNN for face recognition. The specific design, not only increases...
Emotion recognition has become an important research area for advanced human-robot interaction. Through recognizing facial expressions, a robot can interact with a person with a more friendly manner. In this paper, we proposed a bimodal emotion recognition system by combining image and speech information. A novel information fusion strategy is proposed to set proper weights to two feature modalities...
The capability of robotic emotion recognition is an important factor for human-robot interaction. In order to facilitate a robot to function in daily live environments, a emotion recognition system needs to accommodate itself to various persons. In this paper, an emotion recognition system that can adapt to new facial data is proposed. The main idea of the proposed learning algorithm is to adjust...
A guiding system is a specific mechanism that is used for providing key responses or information for the visitors. However, traditional guiding systems certainty have several disadvantages such like without real-time interaction with users and monotonous. This paper presents an intelligent guiding system, which allows a user to real-time interact with it without any additional auxiliaries. At first,...
This paper presents a real-time vision-interactive guiding system, which could be interactive with users based on the computer vision technology. A real-time front-view face detection using Harr-like features is used to decide when the guiding system should wake up and become interactive with the user. After system initialization, some feature points within the detected face area are going to be found...
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