Recognizing 3-D Objects Using 2-D Images

Title: en_US Recognizing 3-D Objects Using 2-D Images
Creator: en_US Jacobs, David W.
Date: 2004-10-20T19:55:20Z
Date Available: 2004-10-20T19:55:20Z
Date Issued: en_US 1993-04-01
Identifier: en_US AITR-1416
uri: http://hdl.handle.net/1721.1/6796
Abstract: en_US 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.
Extent: en_US 269 p.; 3519825 bytes; 7005877 bytes
Format: application/octet-stream; application/pdf
Language: en_US
Relation: en_US AITR-1416
Subject: en_US grouping; en_US indexing; en_US recognition; en_US invariants; en_US sensing erro; en_US snon-accidental properties