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With the development of new ideas and new technologies, the teaching design pattern has also undergone tremendous changes. The flipped classroom is an important direction of the current reform of university education model. This article expounds the development, characteristics, requirements and revelations of the reform of classroom teaching mode in university education, and puts forward some experiences...
Face detection plays a significant role in many applications, such as video surveillance, gender classification, and facial recognition. In this paper, we propose a new face detection method based on multi-scale histograms. The proposed method uses a multi-scale histogram to represent a face, thereby improving computational efficiency, and making the process suitable for big-data multimedia databases...
Information fusion in biometric systems, either multimodal or intramodal fusion, usually provides an improvement in recognition performance. This paper presents a novel score-level fusion scheme called boosted score fusion. The proposed framework is a two-stage design where an existing fusion algorithm is adopted at the first stage. At the second stage, the weights obtained by the AdaBoost algorithm...
The quality of biometric samples plays an important role in biometric authentication systems because it has a direct impact on verification or identification performance. In this paper, we present a novel 3D face recognition system which performs quality assessment on input images prior to recognition. More specifically, a reject option is provided to allow the system operator to eliminate the incoming...
Due to the development of technology, electronics have become intertwined with our daily lives. Because of our reliance on such products, they need to be user-friendly, thus, improving current technology products is critical. One example of an electronic product with an opportunity for improvement is the projector. In many places, projectors have become an indispensable instrument for presentations...
In this rapid development of advanced computer technology era, the trend for interaction with the input devices has shifted toward the incorporation of intelligent technology gradually. To facilitate the intuitive paradigm for human to use digital equipment, the traditional input devices such as keyboards and mice are augmented or even replaced by various novel mechanisms. The provision of the intuitive...
With regard to the high dimensional and small sample facial feature, this paper introduced the Kernel and Canonical Correlation Analysis (CCA) into the Locality Preserving Projections (LPP) algorithm and proposed a new face recognition algorithm based on the Kernel Base Locality Preserving Canonical Correlation Analysis (KLPCCA) with the derivation process. According to this algorithm, first use CCA...
Applications of summation invariant features to multi-region face recognition are explored in this work. Earlier, we have demonstrated the potential benefits of this approach. In this paper, we provide a systematic, thorough comparison of all the summation invariant features derived to-date, and propose a new multi-feature fusion approach to further improve the overall performance. We also identify...
Facial paralysis can be on one or both sides of face and one side is much more common. This disease can impose significant psychological and functional impairment to patients. Traditionally, patients with facial paralysis are evaluated and examined by physicians based on manually measurement of certain difference between the two facial sides. In this paper, we describe a new approach for quantitatively...
With increasing number of aging people, taking care of the elderly will become more and more important for future society, especially for those elderly living alone. This paper presents an autonomous mobile robot Rola (Robot of LivingAid) , which can handle certain emergency conditions in a home setting to help the elderly through multi-modal sensing and control functions. The implemented functions...
The proposed system aims at providing a novel framework of speaker authentication using lip-motion data. The system is divided into three steps: feature extraction and modeling, model synthesis, and probabilistic model matching. First, the visual features are obtained by locating a region-of-interest and extracting geometric and textural features from the region. The extracted feature vectors are...
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