conference paper
Compact Signatures for High-speed Interest Point Description and Matching
2009
2009 Ieee 12Th International Conference On Computer Vision (Iccv)
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.
Type
conference paper
Web of Science ID
WOS:000294955300046
Author(s)
Date Issued
2009
Published in
2009 Ieee 12Th International Conference On Computer Vision (Iccv)
ISBN of the book
978-1-4244-4419-9
Start page
357
End page
364
Editorial or Peer reviewed
NON-REVIEWED
Written at
EPFL
EPFL units
Event name | Event place | Event date |
Kyoto, JAPAN | Sep 29-Oct 02, 2009 | |
Available on Infoscience
December 16, 2011
Use this identifier to reference this record