电光与控制, 2019, 26 (7): 100, 网络出版: 2021-01-06
线性的增量式三维稀疏重建系统设计
Linear Incremental 3D Sparse Reconstruction System Design
倾斜摄影 大数据 SFM系统 线性增量式结构 三维重建 oblique photography big data SFM systtem linear incremental structure 3D reconstruction
摘要
针对倾斜摄影大数据三维重建的需求，对增量式运动恢复结构（SFM）系统进行研究，对传统的SFM系统进行改造。设计并实现了一套高效鲁棒的线性增量式三维重建系统，解决传统增量式三维重建系统效率低、无法适应大数据等不足，为大数据的三维重建提供一套完整的解决方案。
Abstract
Aiming at the requirement of 3D reconstruction of big data in oblique photography, the incremental Structure From Motion (SFM) system is studied, and the traditional SFM system is modified. A highly efficient and robust linear incremental 3D reconstruction system is designed and implemented to solve the problems of low efficiency and inability to adapt to big data in traditional incremental 3D reconstruction systems, which provides a complete solution for 3D reconstruction of big data.
刘彬, 刘学军, 张华, 郑锴. 线性的增量式三维稀疏重建系统设计[J]. 电光与控制, 2019, 26(7): 100. LIU Bin, LIU Xuejun, ZHANG Hua, ZHENG Kai. Linear Incremental 3D Sparse Reconstruction System Design[J]. Electronics Optics & Control, 2019, 26(7): 100.
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