Wall extraction and room detection for multi-unit architectural floor plans
| dc.contributor.author | Cabrera Vargas, Dany Alejandro | |
| dc.contributor.supervisor | Branzan Albu, Alexandra | |
| dc.date.accessioned | 2018-09-28T20:40:08Z | |
| dc.date.available | 2018-09-28T20:40:08Z | |
| dc.date.copyright | 2018 | en_US |
| dc.date.issued | 2018-09-28 | |
| dc.degree.department | Department of Computer Science | en_US |
| dc.degree.level | Master of Science M.Sc. | en_US |
| dc.description.abstract | In the context of urban buildings, architectural floor plans describe a building's structure and spatial distribution. These digital documents are usually shared in file formats that discard the semantic information related to walls and rooms. This work proposes a new method to recover the structural information by extracting walls and detecting rooms in 2D floor plan images, aimed at multi-unit floor plans which present challenges of higher complexity than previous works. Our proposed approach is able to handle overlapped floor plan elements, notation variations and defects in the input image, and its speed makes it suitable for real applications on both desktop and mobile devices. We evaluate our methods in terms of precision and recall against our own annotated dataset of multi-unit floor plans. | en_US |
| dc.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/10111 | |
| dc.language | English | eng |
| dc.language.iso | en | en_US |
| dc.rights | Available to the World Wide Web | en_US |
| dc.subject | architectural floor plans | en_US |
| dc.subject | wall extraction | en_US |
| dc.subject | room detection | en_US |
| dc.subject | vectorization | en_US |
| dc.title | Wall extraction and room detection for multi-unit architectural floor plans | en_US |
| dc.type | Thesis | en_US |