Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision
In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera parameters from the camera calibration process and disparity map are two important parameters to obtain an accurate result for the 3D reconstruction. 3D reconstruction process generates the coordinates of wor...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2016
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/15084/1/fkee-2016-nurnajmin-Study%20on%203D%20Scene%20Reconstruction%20in%20Robot.pdf http://umpir.ump.edu.my/id/eprint/15084/ https://doi.org/10.1109/I2CACIS.2016.7885292 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.ump.umpir.15084 |
---|---|
record_format |
eprints |
spelling |
my.ump.umpir.150842017-11-16T01:38:10Z http://umpir.ump.edu.my/id/eprint/15084/ Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision Nurnajmin Qasrina, Ann Achmad, M. S. Hendriyawan Bayuaji, Luhur Mohd Razali, Daud Pebrianti, Dwi TK Electrical engineering. Electronics Nuclear engineering In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera parameters from the camera calibration process and disparity map are two important parameters to obtain an accurate result for the 3D reconstruction. 3D reconstruction process generates the coordinates of world points (point cloud). From the information of the point cloud, the interested object is segmented out. Additionally, the noises left in the image is eliminated. The experimental result obtained shows that only the background and the interested object from the overall scene appeared in the processed image. The center of gravity is also determined as the reference value for the robot navigation. An estimation error model is also introduced in this study to increase the accuracy of the distance measurement by using the developed stereo vision system from the mobile robot. This experiment provides a foundation for navigation and object tracking for a mobile robot. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15084/1/fkee-2016-nurnajmin-Study%20on%203D%20Scene%20Reconstruction%20in%20Robot.pdf Nurnajmin Qasrina, Ann and Achmad, M. S. Hendriyawan and Bayuaji, Luhur and Mohd Razali, Daud and Pebrianti, Dwi (2016) Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision. In: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2016), 22 October 2016 , Shah Alam, Malaysia. pp. 72-77.. ISBN 978-1-5090-4186-2 https://doi.org/10.1109/I2CACIS.2016.7885292 |
institution |
Universiti Malaysia Pahang |
building |
UMP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Pahang |
content_source |
UMP Institutional Repository |
url_provider |
http://umpir.ump.edu.my/ |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Nurnajmin Qasrina, Ann Achmad, M. S. Hendriyawan Bayuaji, Luhur Mohd Razali, Daud Pebrianti, Dwi Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision |
description |
In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera parameters from the camera calibration process and disparity map are two important parameters to obtain an accurate result for the 3D reconstruction. 3D reconstruction process generates the coordinates of world points (point cloud). From the information of the point cloud, the interested object is segmented out. Additionally, the noises left in the image is eliminated. The experimental result obtained shows that only the background and the interested object from the overall scene appeared in the processed image. The center of gravity is also determined as the reference value for the robot navigation. An estimation error model is also introduced in this study to increase the accuracy of the distance measurement by using the developed stereo vision system from the mobile robot. This experiment provides a foundation for navigation and object tracking for a mobile robot. |
format |
Conference or Workshop Item |
author |
Nurnajmin Qasrina, Ann Achmad, M. S. Hendriyawan Bayuaji, Luhur Mohd Razali, Daud Pebrianti, Dwi |
author_facet |
Nurnajmin Qasrina, Ann Achmad, M. S. Hendriyawan Bayuaji, Luhur Mohd Razali, Daud Pebrianti, Dwi |
author_sort |
Nurnajmin Qasrina, Ann |
title |
Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision |
title_short |
Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision |
title_full |
Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision |
title_fullStr |
Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision |
title_full_unstemmed |
Study on 3D Scene Reconstruction in Robot Navigation using Stereo Vision |
title_sort |
study on 3d scene reconstruction in robot navigation using stereo vision |
publisher |
IEEE |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/15084/1/fkee-2016-nurnajmin-Study%20on%203D%20Scene%20Reconstruction%20in%20Robot.pdf http://umpir.ump.edu.my/id/eprint/15084/ https://doi.org/10.1109/I2CACIS.2016.7885292 |
_version_ |
1643667583230017536 |
score |
13.211869 |