scholarly journals The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning

2017 ◽  
Author(s):  
Anil Usumezbas ◽  
Ricardo Fabbri ◽  
Benjamin B. Kimia
Keyword(s):  
Occlusion Reasoning

Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations

2020 ◽  
Author(s):  
Ziyu Jiang ◽  
Buyu Liu ◽  
Samuel Schulter ◽  
Zhangyang Wang ◽  
Manmohan Chandraker
Keyword(s):  
Indoor Scenes ◽  
Occlusion Reasoning

scholarly journals EXPLOITING INDOOR MOBILE LASER SCANNER TRAJECTORIES FOR SEMANTIC INTERPRETATION OF POINT CLOUDS

2017 ◽  
Vol IV-2/W4 ◽  
pp. 355-362 ◽  
Author(s):  
S. Nikoohemat ◽  
M. Peter ◽  
S. Oude Elberink ◽  
G. Vosselman
Keyword(s):  
Data Collection ◽  
Feature Detection ◽  
Laser Scanner ◽  
Point Clouds ◽  
Semantic Interpretation ◽  
Indoor Environments ◽  
Valuable Source ◽  
Laser Scanners ◽  
Occlusion Reasoning

The use of Indoor Mobile Laser Scanners (IMLS) for data collection in indoor environments has been increasing in the recent years. These systems, unlike Terrestrial Laser Scanners (TLS), collect data along a trajectory instead of at discrete scanner positions. In this research, we propose several methods to exploit the trajectories of IMLS systems for the interpretation of point clouds. By means of occlusion reasoning and use of trajectory as a set of scanner positions, we are capable of detecting openings in cluttered indoor environments. In order to provide information about both the partitioning of the space and the navigable space, we use the voxel concept for point clouds. Furthermore, to reconstruct walls, floor and ceiling we exploit the indoor topology and plane primitives. The results show that the trajectory is a valuable source of data for feature detection and understanding of indoor MLS point clouds.

Sign in / Sign up

Export Citation Format

Share Document