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[Other resourceRBF++_1.2

Description: 径向基RBF多维空间插值算法,用于空间散乱点曲面重建,优于多项式插值-RBF RBF multidimensional spatial interpolation algorithm for space scattered surface reconstruction, better than polynomial interpolation
Platform: | Size: 127835 | Author: 王克东 | Hits:

[AlgorithmRBF++_1.2

Description: 径向基RBF多维空间插值算法,用于空间散乱点曲面重建,优于多项式插值-RBF RBF multidimensional spatial interpolation algorithm for space scattered surface reconstruction, better than polynomial interpolation
Platform: | Size: 128000 | Author: 王克东 | Hits:

[AI-NN-PRRBFPlatform

Description: RBF平台,包含了许多3D表面重建的类库,一定会很有用!-RBF platform contains a number of 3D surface reconstruction of the library will be very useful!
Platform: | Size: 756736 | Author: huanghua626 | Hits:

[Special EffectsIJIT-1206_14(2)

Description: In this paper, we propose a novel algorithm for image inpainting based on compactly supported radial basis functions (CSRBF) interpolation. The algorithm converts 2D image inpainting problem into implict surface reconstruction problem from 3D points set. Firstly, we construct the implicit surface for approximating the points set which convert from damaged image by using radial basis functions (RBF), and then resample from the constructed surface can evaluate the pixels’ value of damaged or removed portion on the image. Using compactly supported radial basis functions, the matrix of corresponding system of the linear algebraic equations is spare and bounded. So it can decrease the computational complexity of RBF algorithm. Experiments show that good results are obtained by using the proposed algorithm. -In this paper, we propose a novel algorithm for image inpainting based on compactly supported radial basis functions (CSRBF) interpolation. The algorithm converts 2D image inpainting problem into implict surface reconstruction problem from 3D points set. Firstly, we construct the implicit surface for approximating the points set which convert from damaged image by using radial basis functions (RBF), and then resample from the constructed surface can evaluate the pixels’ value of damaged or removed portion on the image. Using compactly supported radial basis functions, the matrix of corresponding system of the linear algebraic equations is spare and bounded. So it can decrease the computational complexity of RBF algorithm. Experiments show that good results are obtained by using the proposed algorithm.
Platform: | Size: 274432 | Author: payal | Hits:

[AI-NN-PRadaptive-csrbf(1)

Description: 基于曲面重建RBF方法,程序源码~ 。c++源码-RBF based surface reconstruction method, program source ~
Platform: | Size: 1573888 | Author: fuyanqing | Hits:

[Graph programRBF表面重建

Description: 利用径向基函数的方法进行隐式表面重建,matlab代码(Radial basis function method for implicit surface reconstruction)
Platform: | Size: 13312 | Author: Mr阿普 | Hits:

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