國立臺灣師範大學資訊教育研究所Chen, Sei-WangStockman, G. C.Chang, Kuo-En2014-10-302014-10-301996-03-011045-9227http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/34324Three-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.