DocumentCode :
2173689
Title :
3D Object Reconstruction Using Geometric Computing
Author :
Igwe, Philip C. ; Knopf, George K.
Author_Institution :
Univ. of Western Ontario, London, Ont.
fYear :
1993
fDate :
16-18 Aug. 1993
Firstpage :
9
Lastpage :
14
Abstract :
Fragmented objects are encountered in a variety of diverse engineering and scientific fields including industrial inspection, customized medical prosthesis design, forensic science, paleontology, and archaeology. The arbitrarily broken pieces must be reassembled and new material often added to complete the process of shape reconstruction. To prevent physical damage of the pieces during reconstruction and enhance shape visualization scientists have begun to exploit 3D data acquisition and graphical modeling tools. An algorithm for enabling free-form shape reconstruction from digitized data of fragmented pieces is described in this paper. The method exploits the topological structure and learning algorithm of a 3D self-organizing feature map (SOFM). The lattice of the SOFM is a spherical mesh that maintains the relative connectivity of the neighboring nodes as it transforms under external forces. The weight nodes of the lattice represent vertices of the constituent elements in the facetted surface model. The technique is illustrated by reconstructing two clay objects with closed geometries from several fragmented parts
Keywords :
computational geometry; data visualisation; learning (artificial intelligence); self-organising feature maps; solid modelling; 3D data acquisition; 3D object reconstruction; 3D self-organizing feature map learning algorithm; clay object reconstruction; facetted surface model; fragmented object; free-form shape reconstruction algorithm; geometric computing; graphical modeling tool; shape visualization; spherical mesh; Biomedical engineering; Data acquisition; Data visualization; Design engineering; Forensics; Inspection; Lattices; Prosthetics; Shape; Surface reconstruction; Shape reconstruction; feature map; node adaptation; spherical selforganizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geometric Modeling and Imaging--New Trends, 2006
Conference_Location :
London, England
Print_ISBN :
0-7695-2604-7
Type :
conf
DOI :
10.1109/GMAI.2006.1
Filename :
1648737
Link To Document :
بازگشت