2D Features framework7(Feature Matching with FLANN )
目標 在本教程中，您將學習如何： 使用cv :: FlannBasedMatcher接口來執行快速高效的匹配，方法是使用多維空間中的聚類和搜索模塊 FLANN 是快速最近鄰搜索包(Fast_Library_for_Approximate_Nearest_Neighbors)的簡稱。在面對大數據集時它的效果要好於 BFMatcher。 經驗證，FLANN比其他的最近鄰搜索軟件快10倍。 警告 您需要
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相關文章
- 1. 2D Features framework9（AKAZE local features matching ）
- 2. 2D Features framework6(Feature Description )
- 3. 2D Features framework5(Feature Detection )
- 4. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 5. 2D Features framework 1(Harris corner detector)
- 6. Learning Transferable Features with Deep Adaptation Networks
- 7. Language Identification with Deep Bottleneck Features
- 8. R-CNN(Regions with CNN features)
- 9. 2D Features framework 2(Shi-Tomasi corner detector )
- 10. 2D Features framework 4(Detecting corners location in subpixels )