Abstract
In this paper we present a general indexing scheme for model-based occluded object recognition. This new technique is called fuzzy invariant indexing (FII). It is based on fuzzy if-then-classification rules and fuzzified invariant object descriptions, which can be either invariant values or invariant signatures. We describe the framework of the method and its general applicability: if invariant object descriptions can be constructed, the fuzzy invariant indexing technique can be utilized for recognizing the objects. The recognition performance of the FII-technique is demonstrated tor partially occluded (quasi-)planar objects as well as for rotationally symmetric objects in real scenes.
| Original language | English |
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| Pages | 908-911 |
| Number of pages | 4 |
| State | Published - 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China Duration: 12 Oct 1998 → 16 Oct 1998 |
Conference
| Conference | Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 |
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| City | Beijing, China |
| Period | 12/10/98 → 16/10/98 |