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Título: Recognizing 3-D Objects Using 2-D Images
Autores: Jacobs, David W.
Fecha: 2004-10-20
2004-10-20
1993-04-01
Publicador:
Fuente: Ver documento
Tipo:
Tema: grouping
indexing
recognition
invariants
sensing erro
snon-accidental properties
Descripción: 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.
Idioma: Inglés
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