From f618466c25d43f3bae9e40920273bf77de1e1149 Mon Sep 17 00:00:00 2001 From: leochanj105 Date: Mon, 19 Oct 2020 23:09:30 -0400 Subject: initial sd-vbs initial sd-vbs add sd-vbs sd-vbs --- SD-VBS/benchmarks/sift/src/matlab/sift_overview.m | 33 +++++++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 SD-VBS/benchmarks/sift/src/matlab/sift_overview.m (limited to 'SD-VBS/benchmarks/sift/src/matlab/sift_overview.m') diff --git a/SD-VBS/benchmarks/sift/src/matlab/sift_overview.m b/SD-VBS/benchmarks/sift/src/matlab/sift_overview.m new file mode 100644 index 0000000..71557e4 --- /dev/null +++ b/SD-VBS/benchmarks/sift/src/matlab/sift_overview.m @@ -0,0 +1,33 @@ +% SIFT_OVERVIEW Scale-Invariant Feature Transfrom +% +% This is a MATLAB/C implementation of SIFT detector and descriptor +% [1]. You can: +% +% * Use SIFT() to detect the SIFT frames (keypoints) of a given image +% and compute their descriptors. Then you can use SIFTMATCH() to +% match the descriptors. +% +% * Use PLOTSS(), PLOTSIFTDESCRIPTOR(), PLOTSIFTFRAME(), +% PLOTMATCHES() to visualize the results. +% +% As SIFT is implemented by several reusable M and MEX files, you can +% also run portions of the algorithm, or change them. Specifically, +% you can: +% +% * Use SIFTDESCRIPTOR() to compute the SIFT descriptor from a list +% of frames and a scale space or plain image. +% +% * Use GAUSSIANSS() and DIFFSS() to compute the Gaussian and DOG +% scale spaces. +% +% * Use SIFTLOCALMAX(), SIFTREFINEMX(), SIFTORMX() to manually +% extract the SIFT frames from the DOG scale space. More in +% general, you can use SIFTLOCALMAX() to find maximizers of any +% multi-dimensional arrays. +% +% REFERENCES +% [1] D. G. Lowe, "Distinctive image features from scale-invariant +% keypoints," IJCV, vol. 2, no. 60, pp. 91 110, 2004. +% +% See also PDF:SIFT.INTRODUCTION. + -- cgit v1.2.2