Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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    Dynamic 3D model construction using architectural house plans
    (IEEE, 2017-01-27) Ruwanthika, R. G. N; Amarasekera, P. A. D. B. M; Chandrasiri, R. U. I. B; Rangana, D. M. A. I; Nugaliyadde, A; Mallawarachchi, Y
    The paper presents a complete approach to a dynamic 3D model construction from 2D house plans. This tool assembles 3D models and overlays virtual model on the real 2D blueprint of a house (architectural or hand-drawn). Key content of this research covers three dimensions which are; Wall detection and Wall modeling, Roof detection and Roof modeling and Template matching of Doors/Windows. The end result will be mainly based on Image Processing and Augmented Reality technologies. This tool lets users easily manipulate 3D models in real time through their smartphones and to showcase architecture models are in an entirely new way.
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    Virtual Dressing Room: Smart Approach to Select and Buy Clothes
    (2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Weerasinghe, S.W.P.N.M.; Rajapaksha, R.M.D.D.; Sathsara, L.G.I.; Gunasekara, H.S.D.N.; Wijendra, D.R.; De Silva, D.I.
    The clothing industry portrays a major part of a respective country`s economy. Due to the predilection for clothing items of the people have led to the increasing of physical and online clothing stores in all around the world. Most of the people are used to go to the physical shopping and purchase their desired clothing items. But, as a consequence of the current pandemic situation, most of the people are unable to step out from their homes. This application is intended to cater an opportunity to the customers, who are not able to reach the physical clothing stores due to a pandemic situation and mobility difficulties. In addition, this application diminishes the time wastage, clothing size mismatches and the lesser user satisfaction ratio inside a physical clothing store. A customized 3D model has featured in the application to cater the virtual fitting experience to the customer. And the AI chatbot assistant in the application interacts with the user while catering virtual assistance for a better cloth selection process. In addition to that, this application has concentrated on the clothing shop by providing a future sales prediction component utilizing the K-Nearest Neighbors algorithm to provide an aid to their business commitments.