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@article{ART002889734},
author={Jeong-Beom Ko and Joon-Yong Kim},
title={A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={10},
pages={11-17},
doi={10.9708/jksci.2022.27.10.011}

TY - JOUR
AU - Jeong-Beom Ko
AU - Joon-Yong Kim
TI - A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 10
PB - The Korean Society Of Computer And Information
SP - 11
EP - 17
SN - 1598-849X
AB - In this paper, a model that can increase the efficiency of work in arranging interior furniture by applying augmented reality technology was studied. In the existing system to which augmented reality is currently applied, there is a problem in that information is limitedly provided depending on the size and nature of the company's product when outputting the image of furniture. To solve this problem, this paper presents an AR labeling algorithm. The AR labeling algorithm extracts feature points from the captured images and builds a database including indoor location information. A method of detecting and learning the location data of furniture in an indoor space was adopted using the CNN technique. Through the learned result, it is confirmed that the error between the indoor location and the location shown by learning can be significantly reduced. In addition, a study was conducted to allow users to easily place desired furniture through augmented reality by receiving detailed information about furniture along with accurate image extraction of furniture. As a result of the study, the accuracy and loss rate of the model were found to be 99% and 0.026, indicating the significance of this study by securing reliability. The results of this study are expected to satisfy consumers' satisfaction and purchase desires by accurately arranging desired furniture indoors through the design and implementation of AR labels.
KW - 3D Scanning;AR Labeling;Interior;Furniture;CNN
DO - 10.9708/jksci.2022.27.10.011
ER -

Jeong-Beom Ko and Joon-Yong Kim. (2022). A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN. Journal of The Korea Society of Computer and Information, 27(10), 11-17.

Jeong-Beom Ko and Joon-Yong Kim. 2022, "A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN", Journal of The Korea Society of Computer and Information, vol.27, no.10 pp.11-17. Available from: doi:10.9708/jksci.2022.27.10.011

Jeong-Beom Ko, Joon-Yong Kim "A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN" Journal of The Korea Society of Computer and Information 27.10 pp.11-17 (2022) : 11.

Jeong-Beom Ko, Joon-Yong Kim. A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN. 2022; 27(10), 11-17. Available from: doi:10.9708/jksci.2022.27.10.011

Jeong-Beom Ko and Joon-Yong Kim. "A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 11-17.doi: 10.9708/jksci.2022.27.10.011

Jeong-Beom Ko; Joon-Yong Kim. A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN. Journal of The Korea Society of Computer and Information, 27(10), 11-17. doi: 10.9708/jksci.2022.27.10.011

Jeong-Beom Ko; Joon-Yong Kim. A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN. Journal of The Korea Society of Computer and Information. 2022; 27(10) 11-17. doi: 10.9708/jksci.2022.27.10.011

Jeong-Beom Ko, Joon-Yong Kim. A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN. 2022; 27(10), 11-17. Available from: doi:10.9708/jksci.2022.27.10.011

Jeong-Beom Ko and Joon-Yong Kim. "A Study on AR Algorithm Modeling for Indoor Furniture Interior Arrangement Using CNN" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 11-17.doi: 10.9708/jksci.2022.27.10.011