Implicit surface reconstruction from point cloud data based on generalized polynomials neural network
Yunong Zhang · Journal of Computer Applications · 2009
A new type of generalized polynomials neural network was proposed to reconstruct 3D implicit surface from the scattered points. Since its hidden-layer neurons were activated with the different and linear independent generalized polynomials,the proposed neural network could achieve good performance in learning different patterns. Then the weights-updating formula for the new type of neural network was derived based on gradient-descent method. The simulation results on some scattered point models show that this method can obtain good reconstruction quality and denoising effect.