SO DYNAMIC DEFORMATION FOR BUILDING OF 3-D MODELS

Authors
CHEN SW STOCKMAN GC CHANG KE
Citation
Sw. Chen et al., SO DYNAMIC DEFORMATION FOR BUILDING OF 3-D MODELS, IEEE transactions on neural networks, 7(2), 1996, pp. 374-387
Citations number
23
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Hardware & Architecture","Computer Science Theory & Methods
Journal title
IEEE transactions on neural networks → ACNP
ISSN journal
10459227
Volume
7
Issue
2
Year of publication
1996
Pages
374 - 387
Database
ISI
SICI code
1045-9227(1996)7:2<374:SDDFBO>2.0.ZU;2-F
Abstract
Three-dimensional (3-D) modeling based on an ensemble of multilayer se lf-organizing (SO) neural networks is described. Our objective for 3-D modeling is to construct a representation of a 3-D object shape from sensed surface points acquired from the object. Current modeling techn iques can be classified into two categories: the static and the dynami c approaches, the former grounded in computational geometry, and the l atter rooted in the mechanics of elastic materials. In this paper, a n eural-based dynamic modeling approach is presented. The method used is proved to converge and experimental results are shown which support i ts applicability to real problems.