OpenCV各个detector/descriptor/matcher的创建和使用
(2014-08-21 13:38:46)
标签:
佛学 |
分类: 程序调试 |
OpenCV里有很多的feature,建立和使用方法也比较杂,现在整理一下避免以后用到。
new
DynamicAdaptedFeatureDetector(
AdjusterAdapter::create("SURF"), 100, 500, 5);
SurfDescriptorExtractor extractor;
BRISKD.create("BRISK");
BRISKD.detect(object,kp_object);
BRISKD.compute(object,kp_object,des_object);
1、detector
统一的定义方式:
Ptr detector
= FeatureDetector::create("STAR");
"FAST" – FastFeatureDetector
"STAR" – StarFeatureDetector
"SIFT" – SIFT (nonfree module)
"SURF" – SURF (nonfree module)
"ORB" – ORB
"BRISK" – BRISK
"MSER" – MSER
"GFTT" – GoodFeaturesToTrackDetector
"HARRIS" – GoodFeaturesToTrackDetector with Harris detector
enabled
"Dense" – DenseFeatureDetector
"SimpleBlob" – SimpleBlobDetector
除了统一定义方式之外,有的可以用它自己的feature名字定义,比如
SurfFeatureDetector detector;
SiftFeatureDetector detector;
FastFeatureDetector detector;
STARFeatureDetector detector;
还有一种统一定义方式:
cv::Ptr detector2
= cv::Algorithm::create("BRISK");
其中cv::可以去掉。
动态的特征点定义方式:
Ptr detector =
2、Descriptorextractor
统一定义方式: Ptr
extractor=DescriptorExtractor::create("SURF");
"SIFT" – SIFT
"SURF" – SURF
"BRIEF" – BriefDescriptorExtractor
"BRISK" – BRISK
"ORB" – ORB
"FREAK" – FREAK
个别定义方式:Ptr extractor=new SiftDescriptorExtractor;
Ptr
extractor =new
SurfDescriptorExtractor;
Ptr
extractor =new
BriefDescriptorExtractor;
其他定义方式:
SiftDescriptorExtractor extractor;
BriefDescriptorExtractor extractor;
其他的一些特征可以直接定义对象并用来detect和extract特征
比方说 BRISK BRISKD(60,4,1.0f);
3、matcher
统一定义方式 Ptr matcher =
DescriptorMatcher::create("FlannBased");
BruteForce (it uses L2 )
BruteForce-L1
BruteForce-Hamming
BruteForce-Hamming(2)
FlannBased
其他定义方式:
BFMatcher matcher(type);
normType – One of NORM_L1, NORM_L2, NORM_HAMMING,
NORM_HAMMING2. L1 and L2 norms are preferable choices for SIFT and
SURF descriptors, NORM_HAMMING should be used with ORB, BRISK and
BRIEF, NORM_HAMMING2 should be used with ORB when WTA_K==3 or 4
(see ORB::ORB constructor description).
FlannBasedMatcher matcher;
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