Abstract
In this paper, we present a connectionist approach to the recovery of a 3-D object composed of known primitives from a 2-D image by incorporating context. A certain-to-uncertain scheme is proposed for extracting aspect coverings from a face graph of the image recognized. On the basis of the scheme, we employ Hopfield Nets to verify candidate aspect instantiations(AINs) and rank order the likelihood of all AINs. Finally, a Hopfield net recovers the 3-D object based on the aspect covering.
| Original language | English |
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| Title of host publication | Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks |
| Editors | Anon |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | IEEE |
| Pages | 1177-1180 |
| Number of pages | 3 |
| Volume | 2 |
| ISBN (Print) | 0780314212 |
| Publication status | Published - 1993 |
| Event | Proceedings of 1993 International Joint Conference on Neural Networks. Part 2 (of 3) - Nagoya, Jpn Duration: 1 Jul 1993 → … |
Conference
| Conference | Proceedings of 1993 International Joint Conference on Neural Networks. Part 2 (of 3) |
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| City | Nagoya, Jpn |
| Period | 1/07/93 → … |