概括
本研究介绍了一种灵活,高精度的立体视觉系统校准方法,使用3D点和检查板进行校准. 这种新的方法显著减少了再投射误差,并提高了大体积的长度测量精度.
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
- 计量学 计量学 计量学
背景情况:
- 大视野立体视觉系统需要精确的校准才能进行准确的3D重建.
- 现有的校准方法往往缺乏灵活性和高精度,特别是对于大批量.
研究的目的:
- 为大视野立体视觉系统开发一种新的,灵活的,高精度的校准方法.
- 在大规模环境中提高3D测量的准确性.
主要方法:
- 为了校准,开发了一种新的与距离相关的扭曲模型.
- 该方法结合了3D点和棋盘目标进行校准.
- 实验验证是在一个大体积 (5.0m × 2.0m × 16.0m) 上进行的.
主要成果:
- 在校准数据集上实现了小于0.08像素的根平均平方再投影错误.
- 在大体积中,长度测量的平均相对误差为3.6‰.
- 与其他与距离相关的模型相比,拟议的模型在测试数据集上表现出最低的再投影误差.
结论:
- 与现有技术相比,拟议的校准方法提供了更高的准确性和灵活性.
- 它有效地解决了大视野立体视觉系统当前校准方法的局限性.
- 该方法适用于需要在大规模环境中精确3D测量的应用.
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