基于图像的三维重建典型技术综述  

A Review of Typical Techniques of Image-based 3D Reconstruction

作　　者：孙海迅 罗健欣 张艳艳 郑义桀 潘志松 SUN Haixun;LUO Jianxin;ZHANG Yanyan;ZHENG Yijie;PAN Zhisong(Command and Control Engineering College,Army Engineering University of PLA,Nanjing 210001,China)

机构地区：[1]中国人民解放军陆军工程大学指挥控制工程学院,江苏南京210001

出　　处：《软件导刊》2023年第9期9-24,共16页Software Guide

基　　金：国家自然科学基金项目(62076251)。

摘　　要：三维重建是计算视觉的重要方面,近年来快速发展并在自动驾驶、虚拟现实等方面得以广泛应用。其中,基于图像的三维重建方法发展较为成熟,算法流程清晰,备受研究者关注。主要技术包括:特征点检测与匹配、稀疏点云重建、稠密点云重建、三维表面重建、纹理图像创建等。梳理图像三维重建完整流程,选取重点环节介绍典型技术,并进行分析比较,最后对基于图像的三维重建技术进行总结和展望。3D reconstruction is an important aspect of computer vision.It has developed rapidly in recent years,and has been widely used in automatic driving,virtual reality and other fields.Among them,the image-based 3D reconstruction method is relatively mature,the algorithm process is clear.In this review,we do not only show the complete process from feature point matching,sparse point cloud reconstruction,dense point cloud reconstruction,3D surface reconstruction and texture image creation,but also introduce typical technologies in depth,and make analysis and comparison.Finally,the the 3d reconstruction technology is summarized and prospected.

关 键 词：图像三维重建 稀疏点云重建 稠密点云重建 典型技术 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]