opencv提供了多少個特徵點的descriptor?
02-04
我知道 OpenCV 提供了10種特徵檢測方法:
- "FAST"
– FastFeatureDetector- "STAR"
– StarFeatureDetector- "SIFT"
– SIFT (nonfree module)- "SURF"
– SURF (nonfree module)- "ORB"
– ORB- "MSER"
– MSER- "GFTT"
– GoodFeaturesToTrackDetector- "HARRIS"
– GoodFeaturesToTrackDetector with Harris detector enabled- "Dense"
– DenseFeatureDetector- "SimpleBlob"
– SimpleBlobDetector特徵描述子有那些呢?
答案都在代碼中。
OpenCV 中和 2D 特徵檢測相關的演算法的頭文件位於
- opencvmodulesfeatures2dincludeopencv2features2d.hpp,除SIFT、SURF以外的特徵。
- opencvmodules
onfreeincludeopencv2
onfreefeatures2d.hpp,只包含SIFT、SURF這兩個受專利保護的特徵,因此不是免費的(nonfree)。
我們來看具體的類
DescriptorExtractor 的子類都是描述子提取器,包含- FREAK
- OpponentColorDescriptorExtractor
- BriefDescriptorExtractor
- MSER
- StarDetector,又名 StarFeatureDetector
- FastFeatureDetector
- GFTTDetector,又名 GoodFeaturesToTrackDetector
- SimpleBlobDetector
- DenseFeatureDetector
FeatureDetector 還提供一系列特殊的適配器子類,用於增強或加速之前的 FeatureDetector 類
- GridAdaptedFeatureDetector
- PyramidAdaptedFeatureDetector
- AdjusterAdapter
- DynamicAdaptedFeatureDetector
- FastAdjuster
- StarAdjuster
- SurfAdjuster
- BRISK
- ORB
- SIFT
- SURF
希望這個回答可以授之以漁。
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