Abstract
A hierarchical approach is proposed for solving the surface and the vertex correspondence problems in multiple-view-based 3-D object recognition systems. The scheme is a coarse-to-fine search process, and a Hopfield network is used at each stage. Compared with conventional object matching schemes, the technique provides a more general and compact formulation of the problem and a solution more suitable for parallel implementation. At the coarse search stage, the surface matching rates between the input image and each object model in the database are computed through a Hopfield network and used to select the candidates for further consideration. At the fine search stage, the object models selected from the previous stage are fed into another Hopfield network for vertex matching. The object model that has the best surface and vertex correspondences with the input image is finally singled out as the best matched model. Experimental results using both line drawings and real range images to corroborate the proposed theory are also reported.
| Original language | English (US) |
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| Title of host publication | IJCNN. International Joint Conference on Neural Networks |
| Publisher | Publ by IEEE |
| Pages | 835-844 |
| Number of pages | 10 |
| 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