ASLFeat: Learning Local Features of Accurate Shape and Localization &&2020
通訊作者：Long Quan 第一作者：Zixin Luo 研究機構：港科大，清華，快手 自己的想法： 論文解決的問題 論文提出的方法解決了局部特徵檢測器和描述子的兩個侷限性： 在密集特徵提取過程中，往往忽略了特徵點的局部形狀（尺度、方向等）的估計能力，而形狀感知是獲得較強幾何不變性的關鍵。 檢測到的特徵點的定位精度不足以可靠地恢復相機的幾何結構，這已成爲3D重建等任務的瓶頸。 現有方法的不足 &
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相關文章
- 1. [論文解讀]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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