| dc.contributor.author | Abeykoon, A.M.A.C.B. | |
| dc.contributor.author | Ekanayaka, E.M.P.S. | |
| dc.contributor.author | Fonseka, W.M.D.R. | |
| dc.contributor.author | Ranaweerasingha, R.N. | |
| dc.contributor.author | Gamage, G. Aruna Ishara | |
| dc.contributor.author | Thilakarathna, Thusithanjana | |
| dc.date.accessioned | 2021-07-02T13:32:29Z | |
| dc.date.available | 2021-07-02T13:32:29Z | |
| dc.date.issued | 2021-02-24 | |
| dc.identifier.issn | 2773-7136 | |
| dc.identifier.uri | http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1746 | |
| dc.description.abstract | The ability to think in three dimensions and to visualize is of greater significance in the field of Interior Designing. It is well examined, that the most prevalent concern about interior designing is the interpretation gap between the client and the designer. The clients’ imagination to visualize the final arrangement of the interior is more dominant than metaphysical concepts in the conceptual Interior design stage. The purpose of the study is to analyze Human-Computer Interactions (HCI) utilizing the widely researched Augmented Reality (AR) technologies, to decrease the gap of the design interpretation in the process of traditional Interior Designing. Specifically, it evaluates the best way to communicate the concept of Interior Designing to the client in an immersive virtual blueprint and to analyze the process. To examine the requirement of a virtual interior design that leads to attaining client affection, an interview was conducted with interior designers and people who recently got houses built or re-furnished. The results revealed the difficulties in understanding the client’s personality and preferences in the designing process. Moreover, clients are more likely to encounter a high cost for designing before the dissatisfaction of the physical application of the interior. This paper presents four enhanced methodologies to make an impact on the visualization and analysis of the design process, to produce a room with a new look cost-effectively, create a virtual measuring tool by utilizing the AR and computer vision algorithms such as Canny edge detection, dilation, and erosion, to sort out the best wall paint and to estimate the number of coats by applying Machine Learning (ML) algorithms, to sort out the best-matched furniture by utilizing decision tree algorithm and to distinguish the best furniture to position according to Interior design principles by using marker less Simultaneous Localization and Mapping (SLAM) mobile technologies. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computing and Information Systems, Faculty of Applied Sciences, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka. | en_US |
| dc.subject | Augmented Reality (AR) | en_US |
| dc.subject | Interior Design | en_US |
| dc.subject | Android platform | en_US |
| dc.subject | Concurrent Odometer and Mapping (COM) | en_US |
| dc.subject | Simultaneous Localization mapping (SLAM) | en_US |
| dc.subject | Virtual Reality (VR) | en_US |
| dc.title | AR Interior: Guidance Tool for Interior Designing | en_US |
| dc.type | Article | en_US |