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Space Efficient 3D Model Indexing

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Title: Space Efficient 3D Model Indexing
Author: Jacobs, David W.
Issue Date: 1992-02-01
Abstract: We show that we can optimally represent the set of 2D images produced by the point features of a rigid 3D model as two lines in two high-dimensional spaces. We then decribe a working recognition system in which we represent these spaces discretely in a hash table. We can access this table at run time to find all the groups of model features that could match a group of image features, accounting for the effects of sensing error. We also use this representation of a model's images to demonstrate significant new limitations of two other approaches to recognition: invariants, and non- accidental properties.
URI: http://hdl.handle.net/1721.1/5960
Other Identifiers: AIM-1353
Series/Report no.: AIM-1353
Keywords: object recognition, indexing, invariants, non-accidentalsproperties, hashing, space efficiency

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