sWe show that we can optimally represent the set of 2D images producedsby the point features of a rigid 3D model as two lines in twoshigh-dimensional spaces. We then decribe a working recognition systemsin which we represent these spaces discretely in a hash table. We cansaccess this table at run time to find all the groups of model featuressthat could match a group of image features, accounting for the effectssof sensing error. We also use this representation of a model's imagessto demonstrate significant new limitations of two other approaches tosrecognition: invariants, and non-accidental properties.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5964 |
| Date | 01 February 1992 |
| Creators | Poggio, Tomaso, Brunelli, Roberto |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 15 p., 1356111 bytes, 1055073 bytes, application/postscript, application/pdf |
| Relation | AIM-1354 |
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