Compact Signatures for High-speed Interest Point Description and Matching

Prominent feature point descriptors such as SIFT and SURF allow reliable real-time matching but at a computational cost that limits the number of points that can be handled on PCs, and even more on less powerful mobile devices. A recently proposed technique that relies on statistical classification to compute signatures has the potential to be much faster but at the cost of using very large amounts of memory, which makes it impractical for implementation on low-memory devices.


Published in:
2009 Ieee 12Th International Conference On Computer Vision (Iccv), 357-364
Presented at:
IEEE International Conference on Computer Vision, Kyoto, JAPAN, Sep 29-Oct 02, 2009
Year:
2009
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-4419-9
Laboratories:




 Record created 2011-12-16, last modified 2018-03-17

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