title: SO dynamic deformation for building of 3-D models.
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.
authors.affiliation: Dept. of Inf. and Comput. Educ., Nat. Taiwan Normal Univ., Taipei.
authors.forename: S W
authors.initials: SW
authors.lastname: Chen
authors.forename: G C
authors.initials: GC
authors.lastname: Stockman
authors.forename: K E
authors.initials: KE
authors.lastname: Chang