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Attributed graph matching for image-features association using SIFT descriptors

Author
Sanromà, G.; Alquezar, R.; Serratosa, F.
Type of activity
Presentation of work at congresses
Name of edition
13th Joint IAPR International Workshop on Structural, Syntactic and Statistical Pattern Recognition
Date of publication
2010
Presentation's date
2010
Book of congress proceedings
Structural, Syntactic, and Statistical Pattern Recognition, Vol 6218 of Lecture Notes in Computer Science
First page
254
Last page
263
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-642-14980-1_24 Open in new window
Repository
http://hdl.handle.net/2117/12380 Open in new window
URL
http://dx.doi.org/10.1007/978-3-642-14980-1_24 Open in new window
Abstract
Image-features matching based on SIFT descriptors is subject to the misplacement of certain matches due to the local nature of the SIFT representations. Some well-known outlier rejectors aim to remove those misplaced matches by imposing geometrical consistency. We present two graph matching approaches (one continuous and one discrete) aimed at the matching of SIFT features in a geometrically consistent way. The two main novelties are that, both local and contextual coherence are imposed during t...
Citation
Sanromà, G.; Alquezar, R.; Serratosa, F. Attributed graph matching for image-features association using SIFT descriptors. A: International Workshop on Structural and Syntactic Pattern Recognition. "13th Joint IAPR International Workshop on Structural, Syntactic and Statistical Pattern Recognition". Izmir: Springer, 2010, p. 254-263.
Keywords
SIFT, discrete labeling, image recognition pattern recognition robot vision PARAULES AUTOR: attributed graph matching, image registration, softassign
Group of research
SOCO - Soft Computing

Participants

  • Sanromà Güell, Gerard  (author and speaker )
  • Alquezar Mancho, Renato  (author and speaker )
  • Serratosa Casanelles, Francesc  (author and speaker )

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