Abstract
An ART-1 neural network is applied to the problem of 3-D object recognition using a multiple-view modeling scheme. In this scheme, the 3-D object model database consists of sets of features extracted from 2-D projections rendered by a number of predetermined viewpoints on a view sphere enclosing the object. To recognize the object, a coarse-to-fine search strategy is adopted. ART-1 is used at the coarse search stage to reduce the search space in the model database. Experiments carried out to corroborate the proposed scheme are discussed.
| Original language | English (US) |
|---|---|
| Title of host publication | IJCNN. International Joint Conference on Neural Networks |
| Publisher | Publ by IEEE |
| Pages | 931-936 |
| Number of pages | 6 |
| State | Published - Dec 1 1990 |
| Event | 1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA Duration: Jun 17 1990 → Jun 21 1990 |
Other
| Other | 1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) |
|---|---|
| City | San Diego, CA, USA |
| Period | 6/17/90 → 6/21/90 |
ASJC Scopus subject areas
- General Engineering