Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm
A 3D reconstruction using stereo cameras still becomes an issue among researchers specialized in computer vision. The corresponding pixel between two images from stereo camera needs to be estimated accurately. One of the widely used methods is Semi-Global Matching (SGM), which uses mutual informatio...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2016
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/18253/2/Stereo%20camera%20-%20Based%203D%20object%20reconstruction%20utilizing%20Semi-Global%20Matching%20Algorithm%201.pdf |
| _version_ | 1825823839502729216 |
|---|---|
| author | Achmad, M. S. Hendriyawan Findari, Widya Setia Nurnajmin Qasrina, Ann Pebrianti, Dwi Mohd Razali, Daud |
| author_facet | Achmad, M. S. Hendriyawan Findari, Widya Setia Nurnajmin Qasrina, Ann Pebrianti, Dwi Mohd Razali, Daud |
| author_sort | Achmad, M. S. Hendriyawan |
| collection | UMP |
| description | A 3D reconstruction using stereo cameras still becomes an issue among researchers specialized in computer vision. The corresponding pixel between two images from stereo camera needs to be estimated accurately. One of the widely used methods is Semi-Global Matching (SGM), which uses mutual information (MI) in the form of entropy between two pixels to determine the level of similarity based on the smallest energy (lower cost). The reconstruction result shows the percentage of registered pointcloud is equal to 62.11% where the observation distance ranges are between 1 to 4 meters. In this research, a nearest-neighbor filter is utilized to improve the pointcloud quality where the variations of the neighbor's number are 4 to 128 pixels. The results show that this technique can eliminate the outliers up to 4.9% with the standard deviation of nearest-neighbor distances means equals to 1.0. |
| first_indexed | 2024-03-06T12:17:05Z |
| format | Conference or Workshop Item |
| id | UMPir18253 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:17:05Z |
| publishDate | 2016 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir182532018-05-16T06:01:30Z http://umpir.ump.edu.my/id/eprint/18253/ Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm Achmad, M. S. Hendriyawan Findari, Widya Setia Nurnajmin Qasrina, Ann Pebrianti, Dwi Mohd Razali, Daud TK Electrical engineering. Electronics Nuclear engineering A 3D reconstruction using stereo cameras still becomes an issue among researchers specialized in computer vision. The corresponding pixel between two images from stereo camera needs to be estimated accurately. One of the widely used methods is Semi-Global Matching (SGM), which uses mutual information (MI) in the form of entropy between two pixels to determine the level of similarity based on the smallest energy (lower cost). The reconstruction result shows the percentage of registered pointcloud is equal to 62.11% where the observation distance ranges are between 1 to 4 meters. In this research, a nearest-neighbor filter is utilized to improve the pointcloud quality where the variations of the neighbor's number are 4 to 128 pixels. The results show that this technique can eliminate the outliers up to 4.9% with the standard deviation of nearest-neighbor distances means equals to 1.0. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18253/2/Stereo%20camera%20-%20Based%203D%20object%20reconstruction%20utilizing%20Semi-Global%20Matching%20Algorithm%201.pdf Achmad, M. S. Hendriyawan and Findari, Widya Setia and Nurnajmin Qasrina, Ann and Pebrianti, Dwi and Mohd Razali, Daud (2016) Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm. In: International Conference on Science and Technology-Computer (ICST) , 27-28 October 2016 , Yogyakarta, Indonesia. pp. 1-6.. ISBN 978-1-5090-4357-6 (Published) https://doi.org/10.1109/ICSTC.2016.7877373 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Achmad, M. S. Hendriyawan Findari, Widya Setia Nurnajmin Qasrina, Ann Pebrianti, Dwi Mohd Razali, Daud Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm |
| title | Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm |
| title_full | Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm |
| title_fullStr | Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm |
| title_full_unstemmed | Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm |
| title_short | Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm |
| title_sort | stereo camera based 3d object reconstruction utilizing semi global matching algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/18253/2/Stereo%20camera%20-%20Based%203D%20object%20reconstruction%20utilizing%20Semi-Global%20Matching%20Algorithm%201.pdf |
| work_keys_str_mv | AT achmadmshendriyawan stereocamerabased3dobjectreconstructionutilizingsemiglobalmatchingalgorithm AT findariwidyasetia stereocamerabased3dobjectreconstructionutilizingsemiglobalmatchingalgorithm AT nurnajminqasrinaann stereocamerabased3dobjectreconstructionutilizingsemiglobalmatchingalgorithm AT pebriantidwi stereocamerabased3dobjectreconstructionutilizingsemiglobalmatchingalgorithm AT mohdrazalidaud stereocamerabased3dobjectreconstructionutilizingsemiglobalmatchingalgorithm |