| With the rapid development of computer vision technology,3D reconstruction technology has been useful in many fields,such as medical imaging,robot navigation,augmented reality,motion capture,urban planning and archaeology,promoting the diversified development of the industry and facilitating people’s lives.With the booming development of deep learning,the development of 3D reconstruction has also been on the fast track,and researchers have started to combine deep learning with 3D reconstruction.In this paper,we design and implement a 3D reconstruction system based on multi-source fusion for high-precision positional estimation,using a combination of multiple sensors,including high-precision IMU(Inertial Measurement Unit)and camera sensors,fused in a tightly coupled way to obtain high-precision camera poses,and then combined with the calibrated camera internal parameters,we are able to reconstruct a highprecision 3D model.The 3D reconstruction system based on multi-source fusion and high-precision pose estimation uses a ResNet50-based feature pyramid network for training to obtain the model weights.In terms of development work,based on the idea of software engineering,this paper first investigates the current research status of 3D reconstruction technology and pose estimation technology,and selects the technology used for system development;then introduces the way of fusing camera and IMU and the network model used for training;then this paper analyzes the system requirements from both functional and nonfunctional perspectives,and uses use case diagrams and flowcharts;next is Next is the system outline design,which mainly includes the design of each functional module and the design of the database;then this paper carries out the detailed design and implementation of the system,which describes in detail the design and implementation of each module of the system;finally,this paper carries out a comprehensive system test to ensure that the system in this paper can be used safely in a highly concurrent environment.At present,the system development and testing of this paper have been completed.The indoor 3D reconstruction system proposed in this paper can realize good user interaction,users can easily generate 3D models and manage 3D models,providing users with convenient reconstruction services,and at the same time,based on cloud services for development,model files can be easily stored in the cloud,and this system reflects good prospects and application values. |