2D Features framework7(Feature Matching with FLANN )
目标 在本教程中，您将学习如何： 使用cv :: FlannBasedMatcher接口来执行快速高效的匹配，方法是使用多维空间中的聚类和搜索模块 FLANN 是快速最近邻搜索包(Fast_Library_for_Approximate_Nearest_Neighbors)的简称。在面对大数据集时它的效果要好于 BFMatcher。 经验证，FLANN比其他的最近邻搜索软件快10倍。 警告 您需要
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相关文章
- 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 )