C++ SIFT算法中奇怪的倍频程值?
我在opencv代码中使用sift算法从图像中获取描述符和关键点C++ SIFT算法中奇怪的倍频程值?,c++,opencv,image-processing,computer-vision,sift,C++,Opencv,Image Processing,Computer Vision,Sift,我在opencv代码中使用sift算法从图像中获取描述符和关键点 Ptr<IplImage> image; vector<KeyPoint> keypoints; OutputArray des; Feature2D *descriptor_type = new SIFT() Mat image_mat(image); (*descriptor_type)(image_mat,noArray(),keypoints,des
Ptr<IplImage> image;
vector<KeyPoint> keypoints;
OutputArray des;
Feature2D *descriptor_type = new SIFT()
Mat image_mat(image);
(*descriptor_type)(image_mat,noArray(),keypoints,des,false);
所以我想问一下SIFT算法中倍频程值的计算在opencv中是否正确?刚刚遇到
似乎筛选关键点的倍频程
值需要通过“补丁”进行调整:
for(int i=0;i<keypoints.size();i++)
{
cout<< (keypoints[i].octave) <<endl;
}
9765375
9765375
2621951
8323583
13763071
6488575
12845567
721407
3604991
12321279
9568767
7406079
8585727
4653567
7799295
7799295
5112319
10486271
9961983
6226431
1245951
0
0
0
0
0
0
1
0
0
0
0
1
1
1
0
1
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1
0
0
1
0
keyPoint.octave = keyPoint.octave & 0xFF;