/Detailed Wall Modeling in Cluttered Environments

Detailed Wall Modeling in Cluttered Environments

Portrait of Detailed Wall Modeling in Cluttered Environments
Head: Antonio Adan Oliver
Contact: Daniel Huber
Last Project Publication Year: 2013

In theory, it is simple to model a wall from a point cloud. You just fit a plane to the data, and you’re done. In practice, walls are much more complex entities. They are interspersed with windows and doorways, parts may be occluded by furniture and other objects, and items like bookshelves, clocks, and pictures may be attached or adjacent to the walls. In this research, we are investigating methods to more accurately model walls by explicitly reasoning about occlusions and their impact on the wall model. As part of this research, we are also developing methods to automatically recognize and model windows and doorways, even when they are partially occluded.



This project is funded in part, by the National Science Foundation (CMMI-0856558).

Displaying 5 Publications
Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data
Xuehan Xiong, Antonio Adan Oliver, Burcu Akinci and Daniel Huber

Journal Article, Automation in Construction, Vol. 31, pp. 325-337, May, 2013
Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data
Antonio Adan Oliver, Xuehan Xiong, Burcu Akinci and Daniel Huber

Conference Paper, Proceedings of the International Symposium on Automation and Robotics in Construction (ISARC), June, 2011
3D Reconstruction of Interior Wall Surfaces Under Occlusion and Clutter
Antonio Adan Oliver and Daniel Huber

Conference Paper, Proceedings of 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), May, 2011
Methods for Automatically Modeling and Representing As-built Building Information Models
Daniel Huber, Burcu Akinci, Antonio Adan Oliver, Engin Anil, Brian E. Okorn and Xuehan Xiong

Conference Paper, Proceedings of the NSF CMMI Research Innovation Conference, January, 2011
Using Laser Scanners for Modeling and Analysis in Architecture, Engineering, and Construction
Daniel Huber, Burcu Akinci, Pingbo Tang, Antonio Adan Oliver, Brian E. Okorn and Xuehan Xiong

Conference Paper, Proceedings of the Conference on Information Sciences and Systems (CISS), March, 2010

Current RI People

Past Project People

  • Enrique Valero Rodriguez
  • Emiliano Perez Hernandez
2017-09-13T10:40:50-05:00