Jiguang Yue

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The paper discussed a new control architecture for bio-mimetic robot, hybrid control architecture combines the best aspects of reactive and deliberative control and is proven to be the most suitable controller for autonomous bio-mimetic robots. The hybrid control architecture consist a command/coordinating level with computed discrete time map-based (DTM)(More)
The paper proposes a novel Robust Discriminative Regression (RDR) to handle the partial facial landmarks invisible problem for facial landmark localization. RDR consists of multiple partial feature regressors and a regression tree combination strategy to copes with the partial invisible problem together with the optimal multi output combination problem. The(More)
Eye state estimation has a wide range of potential applications, such as human-computer interaction, driver fatigue monitoring system and facial expression recognition. The commonly used feature-based methods and motion-based methods are easy to be influenced by head pose variation or occlusion. Recently the appearance-based methods are arising. In this(More)
QESADSYS V1.0 is a cross-platform software system to evaluate the seismic acquisition data. The software is designed to provide a powerful, flexible and expandable platform for field data evaluation methods developed by Chinese geologists and engineers. A complete seismic database, a powerful visualization platform and flexible and a strong functional(More)
It is a key parameter whether there is an operator or not in front of the fume hood when controlling it. The detection method is required to meet the needs of real-time, reliability, low-cost and low complexity. In this paper, a new algorithm based on frame difference and histogram similarity comparison is presented to determine whether there exists an(More)
A swarm intelligence is introduced into the analysis and design of intelligent house in this paper. The system performance, software and hardware framework, and the module function of the intelligent house system are discussed thoroughly. The general framework of the realized intelligent house embedded system is derived. Software framework of the system is(More)