对于相对姿势估计来说,最小的辐射扭曲溶解器真的需要吗?
Viktor Kocur1, Charalambos Tzamos2, Yaqing Ding2
1Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava, Bratislava, Slovakia.
概括
对于辐射扭曲的复杂最小解决方案对于相机相对姿势估计是不必要的. 简单的方法,比如参数采样或神经网络,可提供可比性能,但复杂性降低.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 这是一种摄影计量技术 (photogrammetry).
背景情况:
- 估计相对相机姿势对于结构-从-运动和其他应用程序至关重要.
- 标准方法在 RANSAC 循环中使用最小的溶解器,但往往忽略辐射扭曲.
- 忽视辐射扭曲会显著降低位数估计的准确性.
研究的目的:
- 为了评估相对姿势估计中辐射扭曲的复杂最小解决方案的更简单的替代方案.
- 为了比较基于采样的无扭曲方法与基于学习的方法.
- 为了确定什么时候更简单的方法比传统的复杂解决方案更好.
主要方法:
- 与采样的辐射无扭曲参数进行了有效的针孔解决器的比较.
- 评估了一个神经网络方法来估计扭曲参数.
- 在各种数据集和摄像头设置上进行了广泛的实验.
主要成果:
- 在实践中,复杂的最小辐射扭曲解决器并不必不可少.
- 简单的方法可以达到与复杂的解决方法相似的结果.
- 性能取决于特定的数据集和相机配置.
结论:
- 在辐射扭曲下有效的相对姿势估计可以在没有复杂的最小溶解器的情况下实现.
- 简单的辐射无扭曲参数采样往往比基于学习的校准更可取.
- 该研究为进一步研究提供了一个基准和代码.
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