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@article{ART001929532},
author={김수경 and HYUNG IL CHOI},
title={Indoor environment recognition based on depth image},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2014},
volume={19},
number={11},
pages={53-61}

TY - JOUR
AU - 김수경
AU - HYUNG IL CHOI
TI - Indoor environment recognition based on depth image
JO - Journal of The Korea Society of Computer and Information
PY - 2014
VL - 19
IS - 11
PB - The Korean Society Of Computer And Information
SP - 53
EP - 61
SN - 1598-849X
AB - In this paper, we propose a method using an image received by the depth camera in order to separatethe wall in a three-dimensional space indoor environment. Results of the paper may be used to providevaluable information on the three-dimensional space. For example, they may be used to recognize theindoor space, to detect adjacent objects, or to project a projector on the wall. The proposed method firstdetects a normal vector at each point by using the three dimensional coordinates of points. The normalvectors are then clustered into several groups according to similarity. The RANSAC algorithm is applied toseparate out planes. The domain knowledge helps to determine the wall among planes in an indoorenvironment. This paper concludes with experimental results that show performance of the proposed method in various experimental environment.
KW - Normal vector;RANSAC;Plane
DO -
UR -
ER -

김수경 and HYUNG IL CHOI. (2014). Indoor environment recognition based on depth image. Journal of The Korea Society of Computer and Information, 19(11), 53-61.

김수경 and HYUNG IL CHOI. 2014, "Indoor environment recognition based on depth image", Journal of The Korea Society of Computer and Information, vol.19, no.11 pp.53-61.

김수경, HYUNG IL CHOI "Indoor environment recognition based on depth image" Journal of The Korea Society of Computer and Information 19.11 pp.53-61 (2014) : 53.

김수경, HYUNG IL CHOI. Indoor environment recognition based on depth image. 2014; 19(11), 53-61.

김수경 and HYUNG IL CHOI. "Indoor environment recognition based on depth image" Journal of The Korea Society of Computer and Information 19, no.11 (2014) : 53-61.

김수경; HYUNG IL CHOI. Indoor environment recognition based on depth image. Journal of The Korea Society of Computer and Information, 19(11), 53-61.

김수경; HYUNG IL CHOI. Indoor environment recognition based on depth image. Journal of The Korea Society of Computer and Information. 2014; 19(11) 53-61.

김수경, HYUNG IL CHOI. Indoor environment recognition based on depth image. 2014; 19(11), 53-61.

김수경 and HYUNG IL CHOI. "Indoor environment recognition based on depth image" Journal of The Korea Society of Computer and Information 19, no.11 (2014) : 53-61.