基于视觉SLAM稀疏点云的增强现实应用

Augmented Reality Application Based on Visual SLAM Sparse Point Cloud

目前,很多增强现实应用都会使用视觉SLAM来计算摄像机的运动,但很少有应用会完全使用视觉SLAM的稀疏点云来生成网格,这降低增强现实应用与真实环境的交互程度。经过对网格重建的研究,设计一个基于视觉SLAM稀疏点云的增强现实应用,该应用具有较好的交互体验以及真实感。

SLAM is an acronym for Simultaneous Localization and Mapping.Nowadays,many augmented reality applications use visual SLAM to compute camera motion,but few of them make full use of the sparse point cloud estimated by SLAM to generate mesh,which lowers the extent of interaction between augmented reality applications and real environment.By researching into the mesh reconstruction algorithm,designs an augmented reality application based on visual SLAM sparse point cloud,which possesses good interactive experience and sense of reality.