TY - GEN
T1 - Automatic Digitization and Orientation of Scanned Mesh Data for Floor Plan and 3D Model Generation
AU - Sharma, Ritesh
AU - Bier, Eric
AU - Nelson, Lester
AU - Bhandari, Mahabir
AU - Kunwar, Niraj
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This paper describes a novel approach for generating accurate floor plans and 3D models of building interiors using scanned mesh data. Unlike previous methods, which begin with a high resolution point cloud from a laser range-finder, our approach begins with triangle mesh data, as from a Microsoft HoloLens. It generates two types of floor plans, a “pen-and-ink” style that preserves details and a drafting-style that reduces clutter. It processes the 3D model for use in applications by aligning it with coordinate axes, annotating important objects, dividing it into stories, and removing the ceiling. Its performance is evaluated on commercial and residential buildings, with experiments to assess quality and dimensional accuracy. Our approach demonstrates promising potential for automatic digitization and orientation of scanned mesh data, enabling floor plan and 3D model generation in various applications such as navigation, interior design, furniture placement, facilities management, building construction, and HVAC design.
AB - This paper describes a novel approach for generating accurate floor plans and 3D models of building interiors using scanned mesh data. Unlike previous methods, which begin with a high resolution point cloud from a laser range-finder, our approach begins with triangle mesh data, as from a Microsoft HoloLens. It generates two types of floor plans, a “pen-and-ink” style that preserves details and a drafting-style that reduces clutter. It processes the 3D model for use in applications by aligning it with coordinate axes, annotating important objects, dividing it into stories, and removing the ceiling. Its performance is evaluated on commercial and residential buildings, with experiments to assess quality and dimensional accuracy. Our approach demonstrates promising potential for automatic digitization and orientation of scanned mesh data, enabling floor plan and 3D model generation in various applications such as navigation, interior design, furniture placement, facilities management, building construction, and HVAC design.
KW - 3D Models
KW - Augmented Reality
KW - Clustering based methods
KW - Floor plans
UR - http://www.scopus.com/inward/record.url?scp=85181981003&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-50072-5_5
DO - 10.1007/978-3-031-50072-5_5
M3 - Conference contribution
AN - SCOPUS:85181981003
SN - 9783031500718
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 53
EP - 69
BT - Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Proceedings
A2 - Sheng, Bin
A2 - Bi, Lei
A2 - Kim, Jinman
A2 - Magnenat-Thalmann, Nadia
A2 - Thalmann, Daniel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 40th Computer Graphics International Conference, CGI 2023
Y2 - 28 August 2023 through 1 September 2023
ER -