About me
I am HuYang. I graduated with a bachelor’s degree in Resources, Environment and Urban-Rural Planning and Management from Northeast Petroleum University in 2007. In 2010, I obtained a master’s degree in Cartography and Geographic Information System from Wuhan University.
I am mainly engaged in work related to photogrammetry, computer vision, and 3D reconstruction. Currently, I am working on 3D reconstruction at Realsee Technology. I possess a range of professional skills, including Structure from Motion, SLAM, Multi-View Stereo, Mesh Reconstruction, and Lidar point cloud processing algorithms.
Main work
- 3D reconstruction of indoor and outdoor scenes Laser Lidar point cloud-based 3D reconstruction. This includes pose estimation (SfM), point cloud registration, point cloud processing, mesh reconstruction, mesh processing (simplification, smoothing, sharpening), texture mapping, and LOD generation. Image-based outdoor scene 3D reconstruction (oblique photography). This involves image SfM, MVS algorithms, point cloud processing, mesh reconstruction, mesh processing (simplification, smoothing, sharpening), texture mapping, and LOD generation.
- Indoor scene house type analysis and structured reconstruction House type analysis and generation of floor plans. This includes extracting structures (walls, floors, ceilings) and reconstructing them.
- Handheld laser SLAM Includes SLAM, point cloud processing (point cloud filtering, normal vector estimation, dynamic object removal, etc.), point cloud coloring, and color equalization.
- Photogrammetry software Includes generating dense point clouds, generating DSM and DEM. Point cloud filtering of airborne laser Lidar (classification of ground points and non-ground points), and vectorized reconstruction of buildings (individualization).
- 3D reconstruction algorithm for aerial images This includes SfM, MVS, mesh generation, LOD, and more.