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Source code of my paper about RGB-NIR feature detection
This project forked from damienfir/multispectral-interest-points
Source code of my paper about RGB-NIR feature detection
MULTISPECTRAL INTEREST POINTS FOR RGB-NIR IMAGE REGISTRATION This software was used to implement and test the methods researched in the paper by D. Firmenich, M. Brown and S. Süsstrunk (EPFL, Swiss Federal Institute of Technology) as presented at ICIP 2011. CREDITS Written by Damien Firmenich Project supervised by Matthew Brown Harris is inspired by VLFeat (vlfeat.org) SIFT is based on the paper by Lowe (2004) INSTALLATION Dependencies: see LIBRARIES Python 2.5+ should be installed with the required libraries For the C code to be used by Python, the Makefile compiles it to a shared library, please run: make and run the tests with the python script: python tests.py STRUCTURE data/ data generated by the tests lib/ external libraries used in C media/ photos used for the tests src/ source files ARCHITECTURE Python: - load images - run tests - write to files - plot C: - array manipulation - Harris - DoG - SIFT descriptor + frames - registering - RANSAC LIBRARIES ctypes (interaction between Python and C) matplotlib (plotting the data) numpy (array manipulation) RESOURCES http://blogs.oregonstate.edu/hess/code/sift/ http://www.cs.unc.edu/~ccwu/siftgpu/
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