A system scheme of 3d object reconstruction from single 2d graphics based on neuralnetworks - 文章详情页

作者：

Sun, Guangmin (Sun, Guangmin.) (学者：孙光民) | Xu, Lei (Xu, Lei.) | Chen, Deming (Chen, Deming.) | Li, Gang (Li, Gang.) (学者：李港) | Wang, Jing (Wang, Jing.)

收录：

EI Scopus

摘要：

3D　reconstruction　has　turned　out　to　be　a　significant　need　in　Computer　Aided　Design　(CAD)　technology.　With　the　rapid　development　of　virtual　reality　and　industry　design,　more　and　more　3D　models　are　required　in　practical　needs.　So　an　artificial　neural　network　based　system　scheme　is　presented　in　this　paper,　which　can　be　used　in　3D　object　reconstruction　from　single　2D　image.　BP　neural　network　(BP　NN)　is　applied　in　our　system　due　to　its　non-linear　mapping　and　self-adaptive　ability.　The　3D　objects　are　represented　by　OpenInventor,　which　is　a　3D　software　development　kit　based　on　OpenGL.　Experimental　results　show　that　neural　network　is　a　promising　approach　for　reconstruction　and　representation　of　3D　objects.　©2008　IEEE.

关键词：

Application programming interfaces (API) Backpropagation Computer aided design Image processing Image reconstruction Industrial informatics Neural networks Software design Three dimensional computer graphics Virtual reality

作者机构：

[ 1 ] [Sun, Guangmin]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Xu, Lei]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Chen, Deming]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
[ 4 ] [Li, Gang]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
[ 5 ] [Wang, Jing]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China

通讯作者信息：

电子邮件地址：

gmsun@bjut.edu.cn

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