Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6796
Title: Recognizing 3-D Objects Using 2-D Images
Keywords: grouping
indexing
recognition
invariants
sensing erro
snon-accidental properties
Issue Date: 9-Oct-2013
Description: 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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Other Identifiers: AITR-1416
http://hdl.handle.net/1721.1/6796
Appears in Collections:MIT Items

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