So Dynanic Deformation for Building of 3-D Models  

Oleh:

Chen, Sei-Wang ; Stockman, G. C. ; Chang, Kuo-En

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 2 (1996), page 374-387.
Topik: DEFORMATION; dynamic deformation; building; 3 - D models

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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