Multi-View Image-Based 3D Reconstruction in Indoor Scenes:A Survey  

作　　者：LU Ping SHI Wenzhe QIAO Xiuquan 

机构地区：[1]State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen 518055,China [2]ZTE Corporation,Shenzhen 518057,China [3]State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《ZTE Communications》2024年第3期91-98,共8页中兴通讯技术（英文版）

基　　金：supported by ZTE Industry University Institute Cooperation Funds under Grant No.HCCN20221102002.

摘　　要：Three-dimensional reconstruction technology plays an important role in indoor scenes by converting objects and structures in indoor environments into accurate 3D models using multi-view RGB images.It offers a wide range of applications in fields such as virtual reality,augmented reality,indoor navigation,and game development.Existing methods based on multi-view RGB images have made significant progress in 3D reconstruction.These image-based reconstruction methods not only possess good expressive power and generalization performance,but also handle complex geometric shapes and textures effectively.Despite facing challenges such as lighting variations,occlusion,and texture loss in indoor scenes,these challenges can be effectively addressed through deep neural networks,neural implicit surface representations,and other techniques.The technology of indoor 3D reconstruction based on multi-view RGB images has a promising future.It not only provides immersive and interactive virtual experiences but also brings convenience and innovation to indoor navigation,interior design,and virtual tours.As the technology evolves,these image-based reconstruction methods will be further improved to provide higher quality and more accurate solutions to indoor scene reconstruction.

关 键 词：3D reconstruction MVS NeRF neural implicit surface 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]