Le Xin

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In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work with a short video containing a face rotating from frontal view to profile view. The whole approach consists of three components. First, automatic initialization is performed in the(More)
A solution phase-based nanocapsule method was successfully developed to synthesize non-platinum metal catalyst-carbon supported Ag nanoparticles (Ag/C). XRD patterns and TEM image show Ag nanoparticles with a small average size (5.4 nm) and narrow size distribution (2-9 nm) are uniformly dispersed on the carbon black Vulcan XC-72 support. The intrinsic(More)
Onabotulinumtoxin A (BoNTA) has been reported to be effective in the therapy for migraines. Acupuncture has been used worldwide for the treatment of migraine attacks. Injection of a small amount of drug at acupuncture points is an innovation as compared to traditional acupuncture. The purpose of this study was to evaluate and compare the effectiveness of(More)
Internet has been running into the era of Web 3.0 equipped with the development of semantic technology. Therefore, how to manage the enterprise knowledge that suits Web 3.0 becomes an urgent problem. In this paper, we first summarize the evolution of Internet and describe the feature of Web 3.0. After analyzing the practice of linked data applied in Web(More)
Internet of services provides the services capabilities to interact and collaborate. Users are able to create, share and access services by means of heterogeneous devices and interaction channels, in extremely personalized ways. However, in the dynamic and ever-growing scenario, lacks of customization and flexibility have become more and more crucial. In(More)
Realistic audiovisual mapping remains a very challenging problem. Having short time delay between inputs and outputs is also of great importance. In this paper, we present a new dynamic audiovisual mapping approach based on the Fused Hidden Markov Model Inversion method. In our work, the Fused HMM is used to model the loose synchronization nature of the two(More)
Emotion recognition has been one of the most important issues in human computer interaction (HCI). In this paper, we propose a novel bimodal emotion recognition approach by using the boosting-based framework, in which we can automatically determine the adaptive weights for audio and visual features. In this way, we balance the dominances of audio and visual(More)
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