This is a MATLAB version of ORB. It is standalone version, so no prerequisite is needed.
main.m - an example of image registration using ORB & homography transform.
orb.m - code for extracted feature coordinates and their descriptors
MATLAB implementation of ORB (oriented fast rotated brief) without opencv mex
License: GNU General Public License v3.0
This is a MATLAB version of ORB. It is standalone version, so no prerequisite is needed.
main.m - an example of image registration using ORB & homography transform.
orb.m - code for extracted feature coordinates and their descriptors
我发现你代码中有很多问题
首先Fast特征点提取之前,应该首先进行高斯滤波处理,去除一些噪音形成的像素点,然后使用高斯金字塔进行进行尺寸不变的处理。
其次进行FAST特征点的提取。然后进行Harris 角点响应值的计算,再使用非极大值抑制,提取变现最好的FAST角点。计算角点方向。
然后进行BRIEF描述的提取。最后进行匹配。
但是我从你的代码中并没有完整的看到这些步骤。是否最后的特征点匹配是存在很大误差的。
Nice work, thanks!
seems no pyramid has been implemented in this ORB if comparing to it in openCV.
I am doing similar work, but confused about the operations after extracting features (FAST +NMS) in each layer of pyramid.
Index exceeds matrix dimensions.
Error in BRIEF (line 10)
p2 = I(corners(i,2) + patterns(j,4),corners(i,1) + patterns(j,3));
The column index exceeds the image dimension.
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