Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface
This paper proposes a method to measure the fragmentation distribution of a pile of rocks (muck-pile) using image-based 3D reconstruction. One of the most important aspects of mine-blasting is appropriate rock fragmentation to optimize the cost of the blasting operation. The conventional method of m...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://www.ieee-gcce.org/2019/ http://hdl.handle.net/20.500.11937/76945 |
| _version_ | 1848763792554459136 |
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| author | Shishido, H. Wanzhi, Z. Jang, Hyong Doo Kawamura, Y. Kameda, Y. Kitahara, I. |
| author_facet | Shishido, H. Wanzhi, Z. Jang, Hyong Doo Kawamura, Y. Kameda, Y. Kitahara, I. |
| author_sort | Shishido, H. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper proposes a method to measure the fragmentation distribution of a pile of rocks (muck-pile) using image-based 3D reconstruction. One of the most important aspects of mine-blasting is appropriate rock fragmentation to optimize the cost of the blasting operation. The conventional method of measuring fragmentation distribution is based on 2D image processing including segmentation of muck-pile regions into rock clusters. However, in the 2D method, the measurement accuracy is limited. To accurately measure rock fragmentation distribution, we reconstructed a 3D model of a muck-pile from multi-view images and segment the 3D model based on rock-features such as color, normal vector, distance and adjacent angles of surface planes. As a result, the size of each rock was calculated by fitting a bounding box. Based on experimental evaluations, it was confirmed that the accuracy of the proposed method is higher than that of previous methods. |
| first_indexed | 2025-11-14T11:09:06Z |
| format | Conference Paper |
| id | curtin-20.500.11937-76945 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:09:06Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-769452019-11-18T03:44:01Z Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface Shishido, H. Wanzhi, Z. Jang, Hyong Doo Kawamura, Y. Kameda, Y. Kitahara, I. 0914 - Resources Engineering and Extractive Metallurgy This paper proposes a method to measure the fragmentation distribution of a pile of rocks (muck-pile) using image-based 3D reconstruction. One of the most important aspects of mine-blasting is appropriate rock fragmentation to optimize the cost of the blasting operation. The conventional method of measuring fragmentation distribution is based on 2D image processing including segmentation of muck-pile regions into rock clusters. However, in the 2D method, the measurement accuracy is limited. To accurately measure rock fragmentation distribution, we reconstructed a 3D model of a muck-pile from multi-view images and segment the 3D model based on rock-features such as color, normal vector, distance and adjacent angles of surface planes. As a result, the size of each rock was calculated by fitting a bounding box. Based on experimental evaluations, it was confirmed that the accuracy of the proposed method is higher than that of previous methods. 2019 Conference Paper http://hdl.handle.net/20.500.11937/76945 English http://www.ieee-gcce.org/2019/ fulltext |
| spellingShingle | 0914 - Resources Engineering and Extractive Metallurgy Shishido, H. Wanzhi, Z. Jang, Hyong Doo Kawamura, Y. Kameda, Y. Kitahara, I. Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface |
| title | Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface |
| title_full | Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface |
| title_fullStr | Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface |
| title_full_unstemmed | Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface |
| title_short | Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface |
| title_sort | clustering method of 3d point cloud of muck-pile based on connectivity of adjacent surface |
| topic | 0914 - Resources Engineering and Extractive Metallurgy |
| url | http://www.ieee-gcce.org/2019/ http://hdl.handle.net/20.500.11937/76945 |