首页|Multi-View Image-Based 3D Reconstruction in Indoor Scenes:A Survey
Multi-View Image-Based 3D Reconstruction in Indoor Scenes:A Survey
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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,aug-mented 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 in-door scenes,these challenges can be effectively addressed through deep neural networks,neural implicit surface representations,and other tech-niques. 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 technol-ogy evolves,these image-based reconstruction methods will be further improved to provide higher quality and more accurate solutions to indoor scene reconstruction.
3D reconstructionMVSNeRFneural implicit surface
LU Ping、SHI Wenzhe、QIAO Xiuquan
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State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen 518055,China
ZTE Corporation,Shenzhen 518057,China
State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China
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