使用任意照明和检测模式的非视线成像
Xintong Liu1, Jianyu Wang1, Leping Xiao2,3
1Yau Mathematical Sciences Center, Tsinghua University, Beijing, 100084, PR China.
Nature communications
|June 3, 2023
概括
这项研究引入了非视线 (NLOS) 成像的新贝叶斯框架,可以在没有密集测量的情况下详细重建隐藏物体. 混焦补充信号对象协作规范化 (CC-SOCR) 算法扩展了NLOS成像应用.
科学领域:
- 计算机成像成像技术
- 光学和光子学 在光学和光子学.
背景情况:
- 非视线 (NLOS) 成像重建隐藏在直接视线之外的物体.
- 目前的NLOS方法需要广泛的,定期的网格测量,限制了在机器人和自动驾驶等动态环境中的实际使用.
研究的目的:
- 为NLOS成像开发一个灵活的贝叶斯框架.
- 克服现有算法的密度测量要求的局限性.
- 为了在一般的中继条件下高质量重建隐藏物体的白度和表面正常值.
主要方法:
- 为NLOS成像提出了贝叶斯框架,消除了对照明和检测点模式的限制.
- 一个新的算法,共聚焦补充信号-对象协作规范化 (CC-SOCR),是使用虚拟共聚焦信号引入的.
- 该方法可以实现对象属性的高保真重建,例如白度和表面正常值.
主要成果:
- 在不同的中继场景中,CC-SOCR算法成功地重建了隐藏对象的细节 (白度和表面正常值).
- 该框架显著降低了对普通继电器表面的测量密度要求,减少了采集时间.
- 实验验证证明了拟议的NLOS成像方法的广泛适用性和有效性.
结论:
- 开发的贝叶斯框架和CC-SOCR算法为NLOS成像提供了灵活和高效的解决方案.
- 这种方法扩大了NLOS成像在需要在封闭环境中视觉的领域的实际应用范围.
- 该方法推进了NLOS成像,通过减少测量复杂度来实现详细的重建.
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