被动非视域成像方法的研究进展

Research Progress of Passive Non-Line-of-Sight Imaging Methods

非视域(Non-Line-of-Sight,NLoS)成像是近十年来发展的一种新型计算成像技术,通过获取被隐藏场景在某些介质上产生的反射或透射信息,借助计算成像对隐藏场景重建,在反恐、救援、辅助驾驶、医疗技术等方面有巨大的潜在应用价值。非视域成像早期研究主要集中于主动式方法,近几年针对被动非视域成像的研究逐渐展开,文中则根据被动非视域成像方法的差异,针对基于光强度信息、光偏振信息、光相干性信息以及红外光谱信息四种不同的成像原理,对目前常见的被动非视域成像技术进行分析与总结,并对非视域成像技术未来的发展做出展望。

Non-Line-of-Sight(NLoS)imaging is a new type of computational imaging technique developed over the past decade.By acquiring the reflection or transmission information of the hidden scene on some media,the hidden scene could be reconstructed with the help of computational imaging.It has huge potential application value in anti-terrorism,rescue,assisted driving,medical technology,etc.Early research on NLoS imaging mainly focused on active methods,while in recent years,research on passive NLoS imaging has gradually expanded.Based on the differences of passive NLoS imaging methods,four common different imaging principles which includes light intensity information,light polarization information,optical coherence information and infrared spectrum information have been summarized and analysed.And future development of NLoS imaging has also been prospected.