Abdul Shukor, Shazmin (2013) A geometrical-based approach to recognise structure of complex interiors. EngD thesis, University of Warwick.

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Abstract

3D modelling of building interiors has gained a lot of interest recently, specifically since the
rise of Building Information Modeling (BIM). A number of methods have been developed in
the past, however most of them are limited to modelling non-complex interiors. 3D laser
scanners are the preferred sensor to collect the 3D data, however the cost of state-of-the-art
laser scanners are prohibitive to many. Other types of sensors could also be used to generate
the 3D data but they have limitations especially when dealing with clutter and occlusions.
This research has developed a platform to produce 3D modelling of building interiors while
adapting a low-cost, low-level laser scanner to generate the 3D interior data. The PreSuRe
algorithm developed here, which introduces a new pipeline in modelling building interiors,
combines both novel methods and adapts existing approaches to produce the 3D modelling of
various interiors, from sparse room to complex interiors with non-ideal geometrical structure,
highly cluttered and occluded. This approach has successfully reconstructed the structure of
interiors, with above 96% accuracy, even with high amount of noise data and clutter. The
time taken to produce the resulting model is almost real-time, compared to existing
techniques which may take hours to generate the reconstruction. The produced model is also
equipped with semantic information which differentiates the model from a regular 3D CAD
drawing and can be use to assist professionals and experts in related fields.

Item Type:	Thesis or Dissertation (EngD)
Subjects:	N Fine Arts > NA Architecture T Technology > TA Engineering (General). Civil engineering (General)
Library of Congress Subject Headings (LCSH):	Interior architecture -- Computer-aided design, Architectural design -- Data processing, Computer-aided design
Official Date:	February 2013
Dates:	Date Event February 2013 Submitted
Institution:	University of Warwick
Theses Department:	Warwick Manufacturing Group
Thesis Type:	EngD
Publication Status:	Unpublished
Supervisor(s)/Advisor:	Rushforth, Emma J.; Young, K. (Ken)
Sponsors:	Malaysia. Kementerian Pengajian Tinggi [Malaysia. Ministry of Higher Education]; Universiti Malaysia Perlis
Extent:	xvi, 193 leaves : illustrations.
Language:	eng

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