Fuzzy Invariant Indexing: A General Indexing Scheme for Occluded Object Recognition
نویسندگان
چکیده
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 for partially occluded (quasi-)planar objects as well as for rotationally symmetric objects in real scenes.
منابع مشابه
Recognition of Partially Occluded Objects through Fuzzy Invariant Indexing
We present a new approach to the recognition of partially occluded objects employing fuzzy invariant values and fuzzy if-then-rules, called fuzzy invariant indexing (FII). Compared with traditional invariant indexing, the fuzzy method proposed here offers the following advantages: firstly, as shown in the experimental results of this paper, the recognition quality may be considerably increased ...
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