Division of Informatics
Forrest Hill & 80 South Bridge
Research Paper #728 | |
|---|---|
| Title: | A Radial Basis Function Neural Network for Parts Identification of Three Dimensional Shapes |
| Authors: | Borges,D; Orr,M; Fisher,RB |
| Date: | Dec 1994 |
| Presented: | Accepted for presentation at the VII Brazilian Symposium of Computer Graphics and Image Processing, SIBGRAPI, Curitiba, Brazil, November, 1994 |
| Keywords: | |
| Abstract: | The discrimination of volumetric pieces or parts of objects from range data is one key element for achieving 3-D object recognition. In this paper it is shown that previously segmented and acquired superquadrics from range data can be reliably mapped into a set of qualitative volumetric shapes (geons) by means of an RBF (Radial Basis Function) neural network classifier. We use a regularised RBF classifier and the results are shown to be both reliable and efficient in the context of range image understanding. |
| Download: | NO ONLINE COPY |
![[Search These Pages]](http://www.dai.ed.ac.uk/icons/dai_search.gif){kind=icon}
![[DAI Home Page]](http://www.dai.ed.ac.uk/icons/dai_home.gif){kind=icon}
![[Comment]](http://www.dai.ed.ac.uk/icons/dai_comment.gif){kind=icon}