Edge-Preserving Optimisation and Meshing of Indoor Environment Point Cloud
碩士 === 國立成功大學 === 航空太空工程學系 === 107 === This Master’s Thesis focus on the processing of indoor point clouds from their registration using a RGB-D camera to the color meshing of their optimised version. On the images coming from the camera, keypoints are robustly localised using scale-invariant featur...
Main Authors: | RémiPyronnet, 皮安卓 |
---|---|
Other Authors: | Jiun-Hao Tarn |
Format: | Others |
Language: | en_US |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/a52ejj |
Similar Items
-
Robust edge-preserving surface mesh polycube deformation
by: Hui Zhao, et al.
Published: (2018-01-01) -
FROM POINT CLOUDS TO 3D ISOVISTS IN INDOOR ENVIRONMENTS
by: L. Díaz-Vilariño, et al.
Published: (2018-09-01) -
Semantic Mapping with Low-Density Point-Clouds for Service Robots in Indoor Environments
by: Carlos Medina Sánchez, et al.
Published: (2020-10-01) -
Algorithms of mesh reconstruction for 3D point clouds
by: Liu, Chun-Ting, et al.
Published: (2017) -
Regular Mesh Reconstruction from Unorganized Point Cloud
by: Sheng-Wen Wang, et al.
Published: (2010)