Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/34324
Title: Self-organizing(SO) dynamic deformation for building of 3D models
Authors: 國立臺灣師範大學資訊教育研究所
Chen, Sei-Wang
Stockman, G. C.
Chang, Kuo-En
Issue Date: 1-Mar-1996
Publisher: Institute of Electrical and Electronics Engineers
Abstract: Three-dimensional (3D) modeling based on an ensemble of multilayer self-organizing (SO) neural networks is described. Our objective for 3D modeling is to construct a representation of a 3D object shape from sensed surface points acquired from the object. Current modeling techniques can be classified into two categories: the static and the dynamic approaches, where the former grounded in computational geometry, and the latter rooted in the mechanics of elastic materials. In this paper, a neural-based dynamic modeling approach is presented. The method used is proved to converge and experimental results are shown which support its applicability to real problems.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/34324
ISSN: 1045-9227
Other Identifiers: ntnulib_tp_A0904_01_023
Appears in Collections:教師著作

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