概括
这项研究介绍了使用可变焦镜头用于动态场景的扩展深度视野 (DoF) 视觉系统. 它在运动中实现精确的3D深度测量,性能优于传统系统.
科学领域:
- 计算机视觉 计算机视觉
- 光学工程是指光学工程.
- 3D测量技术 3D测量技术
背景情况:
- 传统的立体视觉系统在动态场景中的扩展深度 (DoF) 成像方面遇到了困难.
- 对于现有系统来说,在运动中实现精确的三维 (3D) 深度测量是具有挑战性的.
研究的目的:
- 开发一个扩展的DoF视觉系统,使用可变焦镜头用于动态场景.
- 在目标运动场景中提高3D深度测量准确度和可靠性.
主要方法:
- 实施了一种具有光学级焦点扫描和计算式全焦合成的系统.
- 引入了一种适应时间的焦点校准模型,用于次毫秒的焦点精度 (0.451.2米范围).
- 采用基于自适应同谱的多平面重新映射和度加权的融合用于图像合成.
主要成果:
- 在深度测量性能方面实现了6.2%的改进.
- 将相对深度错误率优化为5.82%,并将RMSE降低到0.0505.5.
- 演示了动态扩展的DoF成像,保留了高频细节.
结论:
- 拟议的可变焦镜头系统可实现动态扩展的DoF成像,用于运动中的3D深度测量.
- 该系统提供了一个紧的形状因素和比传统立体视觉显著改进.
- 潜在的应用范围包括生物医学成像,工业检查,机器人视觉和AR / VR.
相关概念视频
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