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Apr, 2019
深度视觉里程计的选择性存储和姿态细化
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry
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Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang...
TL;DR
本研究提出了一种视觉里程计框架，采用三个组件：内存、优化和特征集中。在几个基准数据集上进行的实验证明，相比于现有的学习方法，该方法在纹理不佳和突发运动等复杂环境下具有更优异的性能。
Abstract
Most previous learning-based
visual odometry
(VO) methods take VO as a pure tracking problem. In contrast, we present a VO framework by incorporating two additional components called Memory and Refining. The
memory comp
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