Enhancing the System Model for home Interior Design Using Augmented Reality

Home interior design is often a challenging and time-consuming task due to several mismatches between the selection of interiors in a shop and their composition in a target room. One of these mismatches is a lack of knowledge in relation to the target room and to other interiors when an item is seen in a shop. In this paper, we propose to design and develop a system model by which users can virtually try out various settings of home interiors by using marker-less Augmented Reality (AR). To minimize the latency of the system, we apply the hybrid approach of combining an AR framework with a Simultaneous Localization And Mapping (SLAM) algorithm, where the 3D feature points are updated dynamically, thereby avoiding occlusion when multiple interiors are placed on the real-world view. Dimension scanning is deployed to provide accurate live-size scaling to the real-world environment whereas transformations are handled efficiently by means of a touch gesture recognition. The proposed system model for home interior design can be easily implemented as a mobile application. The performance evaluation through experiments shows that with the SLAM algorithm, the average response time of the proposed system improves by 43%. The proposed system is intended to meet the requirements of virtual and augmented reality services specified by ITU-T Study Group 16.