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Breath training is an important part in the pronunciation recovery process, we simulate the fluent of air in the the upper respiratory tract, use computational fluid dynamic to build the impaired hearing children's pronunciation recovery system, and we have tasted the reliability of the system by experimental. We study the two parts in the breath process by the dynamic fluid computational method,...
Launched from the establishment of 3D tongue model in this thesis, the tongue rehabilitation training method of hearing-impaired child combined by 3D modeling technology and sensor technology is applied and the method can reveal the tongue motor process of average person when pronouncing, guide the hearing-impaired child to do tongue pronunciation training, overcome the problem of non-visibility of...
A modified Voronoi model is established based on the Richard's method to generate 2D non-equiaxed initial microstructure for Monte Carlo simulation of recrystallization. It is verified to be efficient by comparing the simulated results and the experimental ones. Then the model is introduced to simulate the recrystallization process of pure ferrite steel plate, the effect of rolling reduction on microstructure...
This paper proposed a novel method for selecting good views in 3D scene observation. A lot of existing methods for computing viewpoint quality are based on the number of visible faces and the projected area only, so they miss the visual identity of the scene. Our method combines the notion of mesh saliency and fuzzy nearness. First, we construct a fuzzy set for a viewpoint. The elements of the set...
Visual sensor networks are becoming more and more common. They have a wide-range of commercial and military applications from video surveillance to smart home and from traffic monitoring to anti-terrorism. The design of such a visual sensor network is a challenging problem due to the complexity of the environment, self and mutual occlusion of moving objects, diverse sensor properties and a myriad...
Proper placement of cameras in a distributed smart camera network is an important design problem. Not only does it determine the coverage of the surveillance, but it also has a direct impact on the appearance of objects in the cameras which dictates the performance of all subsequent computer vision tasks. In this paper, we propose a generic camera placement model based on the visibility of objects...
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