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Reconstruction of Novel Viewpoint Image Using GRNN
作者姓名:李战委  孙济洲  张志强
作者单位:School of Electronic Information Engineering Tianjin University,School of Electronic Information Engineering,Tianjin University,School of Electronic Information Engineering,Tianjin University Tianjin 300072,China,Hebei University of Technology,Tianjin 300130,China,Tianjin 300072,China,Tianjin 300072,China
基金项目:TianjinNaturalScienceFoundation(0 0 360 0 4 1 1 )
摘    要:Theaimofthecomputergraphicsistoachieverea listicimage .Traditionalmethods ,suchasradiosity ,hav ingconstructedthemodelofthescene,produceimagesbyilluminationalgorithm .Conventional graphicsfacegreatdifficultiesintwoaspects :over complicatedcom putingandunrealisticimages.Theimage basedmodelingandrendering(IBMR)techniquesareapowerfulalterna tivetothetraditionalgeometry basedtechniquesforim agesynthesisandarewidelystudiedinrecentyears .Im age basedrendering(IBR)techniquesdirectlyrenderthenovelv…


Reconstruction of Novel Viewpoint Image Using GRNN
LI Zhan wei,SUN Ji zhou,ZHANG Zhi qiang.Reconstruction of Novel Viewpoint Image Using GRNN[J].Transactions of Tianjin University,2003,9(2).
Authors:LI Zhan wei  SUN Ji zhou  ZHANG Zhi qiang
Abstract:A neural statistical approach to the reconstruction of novel viewpoint image us ing general regression neural networks(GRNN) is presented. Different color value will be obtained by watching the same surface point of an object from different viewpoints due to specular reflection, and the difference is related to the pos ition of viewpoint. The relationship between the position of viewpoint and the c olor of image is non linear, neural network is introduced to make curve fitting , where the inputs of neural network are only a few calibrated images with obvio us specular reflection. By training the neural network, network model is obtaine d. By inputing an arbitrary virtual viewpoint to the model, the image of the vir tual viewpoint can be computed. By using the method presented here, novel viewpo int image with photo realistic property can be obtained, especially images with obvious specular reflection can accurately be generated. The method is an image based rendering method, geometric model of the scene and position of lighting are not needed.
Keywords:image  based rendering  specular refle ction  general regression neural networks  
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