DocumentCode
423623
Title
Surface reconstruction using neural networks and adaptive geometry meshes
Author
Junior, Ad.M.B. ; Neto, Adrib Duane Ddria ; De Melo, Jorge Dantas
Author_Institution
Dept. of Comput. & Autom. Eng., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
Volume
1
fYear
2004
fDate
25-29 July 2004
Lastpage
807
Abstract
We present a multi-resolution surface reconstruction method from point clouds in 3D space based on Kohonen´s self-organizing neural networks. It uses a set of mesh operators and simple rules for selective mesh refinement. Experimental results show the method is very successful on reconstructing forms with different geometry.
Keywords
image reconstruction; image resolution; mesh generation; self-organising feature maps; surface reconstruction; 3D space; Kohonen self-organizing neural network; adaptive geometry mesh; mesh operator; multiresolution surface reconstruction method; Adaptive systems; Geometry; Image reconstruction; Network topology; Neural networks; Reconstruction algorithms; Rough surfaces; Surface fitting; Surface reconstruction; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1380023
Filename
1380023
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