Scale-invariant Feature Transform
Scale-invariant feature transform
(or
SIFT
) is a
computer vision
algorithm
for extracting distinctive features from images, to be used in algorithms for tasks like
localization
,
stereo vision
, and
object recognition
. The algorithm was devised by
David Lowe
, who has a
patent
on it. SIFT is a fundamental part of the
visual pattern recognition
(
ViPR
) and
visual simultaneous localization and mapping
(
vSLAM
) algorithms developed by
Evolution Robotics
. The feature representations found by SIFT are thought to be analogous to those of neurons in
inferior temporal cortex
, a region used for object recognition in
primate
vision. SIFT is used by
Aibo
to locate its charging station.
External links
Object recognition from local scale-invariant features: Conference paper describing algorithm (1999)
libsift: C# implementation of SIFT
autopano-SIFT: a tool for generating panoramas from multiple images, using SIFT to match features between images
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