非视域成像三维图像重建技术分析研究与展望
Analysis Research and Prospect of 3D Image Reconstruction Technology in Non-Line-of-Sight Imaging
王雪峰 1陈兴稣1
作者信息
- 1. 伊犁师范大学网络安全与信息技术学院;伊犁河谷智能计算研究与应用重点实验室,新疆伊宁 835000
- 折叠
摘要
非视域成像(non-line-of-sight,NLOS)技术是相对于视域成像而言的,传统光学成像技术只能对视线范围内的场景进行成像,而非视域成像则通过先进的光学成像技术,能够对视线范围以外的隐藏目标进行成像,其通过光子的多次散射获取隐藏目标的信息后,需要通过后期图像重建算法对隐藏目标进行恢复,因此图像重建技术对非视域成像至关重要,是评估其成像系统的重要指标.本文针对现有的非视域成像的图像重建技术进行分析、总结归纳,将重建算法分为四大类:经典反投影图像重建方法、基于波场域的图像重建方法、基于最优化图像重建方法和基于深度学习重建方法.并对几种不同的重建技术进行对比分析,最后讨论了非视域成像三维图像重建技术的发展前景.
Abstract
Non-line-of-sight(NLOS)imaging technology differs from traditional visual field imaging by enabling the detection of hidden targets beyond the line of sight through advanced optical imaging techniques.This involves capturing information about hidden targets through photon multiple scattering and subsequently reconstructing the target's image using appropriate algorithms.As such,image reconstruction technology plays a crucial role in evaluating the effectiveness of NLOS imaging sys-tems.In this paper,image reconstruction technologies are analyzed and summarized,and are divided into four categories:clas-sical back projection image reconstruction method,wave field based image reconstruction method,image reconstruction method based on optimization and deep learning reconstruction method,then the characteristics and applicable scenarios are compared and analyzed among the different reconstruction techniques.Finally,the paper discusses the current progress and future pros-pects of 3D image reconstruction technology in the context of NLOS imaging.
关键词
非视域成像/反投影重建算法/波场域重建算法/最优化重建算法/深度学习重建算法Key words
non-line-of-sight imaging/back projection reconstruction algorithm/wave field reconstruction algorithm/optimization reconstruction algorithm/deep learning reconstruction algorithm引用本文复制引用
基金项目
国家自然科学基金(62165015)
伊犁师范大学提升学科综合实力专项(22XKZY01)
出版年
2024
NETL
NSTL
万方数据