This repository explores various RGBD reconstruction and mapping techniques
- Converting the RGB-D data into a point cloud based on the estimated camera pose and then stitching them into a global point cloud map composed of discrete points
- Use the triangular mesh and the surface (surfel) to build the map to estimate the object’s surface
- Create an occupancy map through voxels, to know the map’s obstacle information and navigate the map.