Xin Nian Yang's research while affiliated with Liaoning Technical University and other places
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Publications (3)
This paper presents a point cloud reconstruction algorithm which based on SVR(support vector regression). Firstly, the point cloud data pre-processing, filter out noise points. Then train the point by SVR, and we can get the function of surface expression. Finally, using the Marching Cube algorithm to visualize the implicit function. Experimental r...
In order to extract characteristics of face by making full use of LBP and improve its "adaptive ability", we proposed an algorithm based on global and local fusion LBP. First, we will extract overall face feature histogram with LBP, then segment the image into blocks, extract each LBP histogram feature, then combine the global and local features ac...
Computer simulation of the flame is difficult to achieve real-time and realistic problem, proposing a fire simulation method based on fluid model and GPU general computing combining. The method is based on the incompressible flame, low-density, non-sticky and so on. Semi-Lagrange method is using to solve the fluid equations, using volume rendering...
Citations
... Local Binary Patterns (LBP) operator, initially proposed by Ojala et al. (1996), is a powerful tool for texture description and has been widely used in many fields. Sun et al. (2011) extracted an overall face feature histogram with the LBP operator. Then the least squares support vector machine (LS-SVM) was used to identify and train samples of face images in order to improve the recognition rate of the face. ...
