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Evidence-Based Recognition of 3-D Objects
November 1988 (vol. 10 no. 6)
pp. 783-802

An evidence-based recognition technique is defined that identifies 3-D objects by looking for their notable features. This technique makes use of an evidence rule base, which is a set of salient or evidence conditions with corresponding evidence weights for various objects in the database. A measure of similarity between the set of observed features and the set of evidence conditions for a given object in the database is used to determine the identity of an object in the scene or reject the object(s) in the scene as unknown. This procedure has polynomial time complexity and correctly identifies a variety of objects in both synthetic and real range images. A technique for automatically deriving the evidence rule base from training views of objects is shown to generate evidence conditions that successfully identify new views of those objects.

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Index Terms:
3-D object recognition; computerized pattern recognition; evidence-based recognition; rule base; database; polynomial time complexity; computational complexity; computerised pattern recognition; knowledge based systems; polynomials
Citation:
A.K. Jain, R. Hoffman, "Evidence-Based Recognition of 3-D Objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 6, pp. 783-802, Nov. 1988, doi:10.1109/34.9102
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