dc.contributor.author |
Joseph, Renien |
|
dc.contributor.author |
Perera, M. S. U. |
|
dc.date.accessioned |
2019-02-03T17:28:21Z |
|
dc.date.available |
2019-02-03T17:28:21Z |
|
dc.date.issued |
2014 |
|
dc.identifier.citation |
Joseph, R. and Perera, U. (2014) Build-IT - An Interactive Web Application for 3D Construction, Interior & Exterior Design. In: Al-Dabass, D; Sauli, Z and Zakaria, Z. (eds) Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014) Langkawi, Malasiya. 27th -29th January 2014. IEEE, pp. 244 -248. DOI: 10.1109/ISMS.2014.48 |
en_US |
dc.identifier.uri |
https://ieeexplore.ieee.org/document/7280915 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/56 |
|
dc.description.abstract |
Using 3D building models is extremely helpful throughout the architecture engineering and construction (AEC) lifecycle. Such models coupled with virtual walk through can enable customers to decide and be satisfied with their dream building. Manually creating a polygonal 3D model of a set of floor plans is nontrivial and requires skill and time. This project introduces and reviews a mechanism for applying interior and exterior design constructs after the conversion of 2D drawings into 3D Building Information Model (BIM).This research demonstrates an automated 3D model reconstruction of real world object from an un-calibrated image sequence targeting the same scene; which can be used for interior and exterior design. There are many key techniques in 3D reconstruction from image sequences, including feature matching, fundamental matrix estimation, projective reconstruction, camera self-calibration, dense stereo matching and Euclidean reconstruction. The effectiveness of the algorithms was evaluated in the experiments with many real image sequences. |
en_US |
dc.subject |
3D reconstruction |
en_US |
dc.subject |
Dense Matching, |
en_US |
dc.title |
Build-IT - An Interactive Web Application for 3D Construction, Interior & Exterior Design |
en_US |