Tag Archives: David G. Lowe

Introduction to Scale-Invariant Feature Transform (SIFT)

Scale-Invariant Feature Transform Summary

SIFT Detection Paper: http://www.cs.ubc.ca/~lowe/papers/iccv99.pdf

Terms used in SIFT paper

LoG = Laplacian of Gaussian

DoG = Difference of Gaussian

BBF = Best-Bin-First

RANSAC = RANdom SAmple Consensus

NN = Nearest Neighbor

IT = Inferior Temporal

What Can Developers Use the SIFT algorithms for?

  • Locate a certain object in an image of many other objects
  • Locate an object between frames in a sequence of images (video)
  • Stitching together images to create a panoramic image
  • Robot localization and mapping
  • 3D scene modeling, recognition and tracking
  • 3D SIFT-like descriptors for human action recognition
  • Analyzing the Human Brain in 3D Magnetic Resonance Images