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
Resources
http://docs.opencv.org/3.1.0/da/df5/tutorial_py_sift_intro.html
http://www.vlfeat.org/api/sift.html
https://en.wikipedia.org/wiki/Scale-invariant_feature_transform