ASLFeat: Learning Local Features of Accurate Shape and Localization &&2020
通讯作者：Long Quan 第一作者：Zixin Luo 研究机构：港科大，清华，快手 自己的想法： 论文解决的问题 论文提出的方法解决了局部特征检测器和描述子的两个局限性： 在密集特征提取过程中，往往忽略了特征点的局部形状（尺度、方向等）的估计能力，而形状感知是获得较强几何不变性的关键。 检测到的特征点的定位精度不足以可靠地恢复相机的几何结构，这已成为3D重建等任务的瓶颈。 现有方法的不足 &
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相关文章
- 1. [论文解读]ASLFeat: Learning Local Features of Accurate Shape and Localization
- 2. [CVPR 2020] D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
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- 4. Learning Deep Features for Discriminative Localization
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