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Recognizing 3-D Objects Using 2-D Images

We discuss a strategy for visual recognition by forming groups of salient image features, and then using these groups to index into a data base to find all of the matching groups of model features. We discuss the most space efficient possible method of representing 3-D models for indexing from 2-D data, and show how to account for sensing error when indexing. We also present a convex grouping method that is robust and efficient, both theoretically and in practice. Finally, we combine these modules into a complete recognition system, and test its performance on many real images.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/6796
Date01 April 1993
CreatorsJacobs, David W.
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format269 p., 3519825 bytes, 7005877 bytes, application/octet-stream, application/pdf
RelationAITR-1416

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