@article{ART002862983},
author={Jong-Hyun Kim},
title={DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={7},
pages={49-55},
doi={10.9708/jksci.2022.27.07.049}
TY - JOUR
AU - Jong-Hyun Kim
TI - DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 7
PB - The Korean Society Of Computer And Information
SP - 49
EP - 55
SN - 1598-849X
AB - In this paper, we propose an obstacle detection method that can operate robustly even in external environmental factors such as weather. In particular, we propose an obstacle detection system that can accurately inform dangerous situations in AR through DB-based feature matching and RANSAC-based multiplane method. Since the approach to detecting obstacles based on images obtained by RGB cameras relies on images, the feature detection according to lighting is inaccurate, and it becomes difficult to detect obstacles because they are affected by lighting, natural light, or weather. In addition, it causes a large error in detecting obstacles on a number of planes generated due to complex terrain. To alleviate this problem, this paper efficiently and accurately detects obstacles regardless of lighting through DB-based feature matching. In addition, a criterion for classifying feature points is newly calculated by normalizing multiple planes to a single plane through RANSAC. As a result, the proposed method can efficiently detect obstacles regardless of lighting, natural light, and weather, and it is expected that it can be used to secure user safety because it can reliably detect surfaces in high and low or other terrains. In the proposed method, most of the experimental results on mobile devices reliably recognized indoor/outdoor obstacles.
KW - Mobile augmented reality;Obstacle detection;Feature matching;Multiplane;Human-computer interaction
DO - 10.9708/jksci.2022.27.07.049
ER -
Jong-Hyun Kim. (2022). DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR. Journal of The Korea Society of Computer and Information, 27(7), 49-55.
Jong-Hyun Kim. 2022, "DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR", Journal of The Korea Society of Computer and Information, vol.27, no.7 pp.49-55. Available from: doi:10.9708/jksci.2022.27.07.049
Jong-Hyun Kim "DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR" Journal of The Korea Society of Computer and Information 27.7 pp.49-55 (2022) : 49.
Jong-Hyun Kim. DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR. 2022; 27(7), 49-55. Available from: doi:10.9708/jksci.2022.27.07.049
Jong-Hyun Kim. "DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR" Journal of The Korea Society of Computer and Information 27, no.7 (2022) : 49-55.doi: 10.9708/jksci.2022.27.07.049
Jong-Hyun Kim. DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR. Journal of The Korea Society of Computer and Information, 27(7), 49-55. doi: 10.9708/jksci.2022.27.07.049
Jong-Hyun Kim. DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR. Journal of The Korea Society of Computer and Information. 2022; 27(7) 49-55. doi: 10.9708/jksci.2022.27.07.049
Jong-Hyun Kim. DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR. 2022; 27(7), 49-55. Available from: doi:10.9708/jksci.2022.27.07.049
Jong-Hyun Kim. "DB-Based Feature Matching and RANSAC-Based Multiplane Method for Obstacle Detection System in AR" Journal of The Korea Society of Computer and Information 27, no.7 (2022) : 49-55.doi: 10.9708/jksci.2022.27.07.049
