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Bases on present harmonic detection algorithms, single-phase load current is decomposed and a novel single-phase current detection algorithm, which is simple, reliable, response quickly and favors the hardware realization, is proposed, in order to solve complexity of algorithm and slow response of common used single-phase harmonic detection methods. Meanwhile, as the method need to use low pass filter,...
Accuracy and dynamic performance of Active Power Filter (APF) harmonic detection algorithm affect the effect of harmonic compensation directly. Commonly used harmonic current detection algorithms share the problem that certain hysteresis error and unsatisfactory dynamic performance. Harmonic current detection algorithm bases on instantaneous reactive power is analysed. Hysteresis error that affect...
Varying illumination is a challenging issue in many computer vision problems (e.g., tagging, matching, and tracking), while in inverse rendering, people are interested in estimating illumination from rendered images or videos. Can these two techniques be combined together to form a unified framework for vehicle tracking and lighting learning? This paper gives probably the first thought in this joint...
As the key problem of content-based three-dimensional model retrieval, feature extraction methods do not achieve ideal performance at present. Most of past feature extraction methods just utilize the attributes of the model itself. Therefore, it is a promising direction to utilize the categorization information in the process of feature extraction. According to the fact that models in the same category...
Matching vehicles subject to both large pose transformations and extreme illumination variations remains a technically challenging problem in computer vision. In this paper, we develop a new and robust framework toward matching and recognizing vehicles with both highly varying poses and drastically changing illumination conditions. By effectively estimating both pose and illumination conditions, we...
Automatic non-rigid registration of 3D time-varying data is fundamental in many vision and graphics applications such as facial expression analysis, synthesis, and recognition. Despite many research advances in recent years, it still remains to be technically challenging, especially for 3D dynamic, densely-sampled facial data with a large number of degrees of freedom (necessarily used to represent...
Three-dimensional shape matching is a fundamental issue in computer vision with many applications such as shape registration, 3D object recognition, and classification. However, shape matching with noise, occlusion, and clutter is a challenging problem. In this paper, we analyze a family of quasi-conformal maps including harmonic maps, conformal maps, and least-squares conformal maps with regards...
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