Kinect 3D reconstruction fusion mapping with C# algorithm by RGB-D sensor
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Rahman, Ashikur | |
| dc.contributor.author | Mehedy, Shoumik Rahman | |
| dc.contributor.author | Rahman, Rashedur M. | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2026-09-07T04:03:42Z | |
| dc.date.available | 2026-09-07T04:03:42Z | |
| dc.date.issued | 2019-05-01 | |
| dc.description.abstract | The fundamental objective of this paper is to describe the applications of Microsoft Kinect sensor with robust algorithm and solution to present 3-D surface reconstruction mapping with different measurements. In the line of Sensor operations, there could be two possible categories into 3-D reconstructions such as exorbitant laser scanner and other is by taking photos from various angles. In this paper, we have used indoor environmental scenes by depth sensor camera Microsoft Kinect. Data Pre-operations, sensor posture evaluations, computational fusion of the depth sensor data and 3-D surface extractions are the four major part of this experiment. The algorithm of this paper has been built uniquely with C# programming. | |
| dc.description.version | Published | |
| dc.format.extent | 6 Pages | |
| dc.identifier.citation | A. Rahman, S. R. Mehedy and R. M. Rahman, "Kinect 3D Reconstruction Fusion Mapping with C# Algorithm by RGB-D Sensor," 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), Dhaka, Bangladesh, 2019, pp. 1-6, doi: 10.1109/ICASERT.2019.8934596. | |
| dc.identifier.doi | 10.1109/ICASERT.2019.8934596 | |
| dc.identifier.issn | 9781728134451 | |
| dc.identifier.other | 2-s2.0-85078040707 | |
| dc.identifier.uri | https://hdl.handle.net/10361/29791 | |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.hasversion | 10.1109/ICASERT.2019.8934596 | |
| dc.relation.ispartof | 1st International Conference on Advances in Science Engineering and Robotics Technology 2019 Icasert 2019 | |
| dc.relation.ispartofseries | 1st International Conference on Advances in Science Engineering and Robotics Technology 2019 Icasert 2019 | |
| dc.relation.uri | https://ieeexplore.ieee.org/document/8934596 | |
| dc.subject | Three-dimensional displays | |
| dc.subject | Surface reconstruction | |
| dc.subject | Cameras | |
| dc.subject | Robot sensing systems | |
| dc.subject | Image reconstruction | |
| dc.subject | Surface topography | |
| dc.subject | Land surface | |
| dc.subject | Microsoft kinect sensor | |
| dc.subject | 3D reconstruction | |
| dc.subject | Depth-sensor camera | |
| dc.subject | Image processing | |
| dc.subject | Algorithms | |
| dc.subject.lcsh | Three-dimensional imaging. | |
| dc.subject.lcsh | Computer vision. | |
| dc.title | Kinect 3D reconstruction fusion mapping with C# algorithm by RGB-D sensor | |
| dc.type | Conference Proceeding | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | North South University | |
| person.affiliation.name | North South University | |
| person.identifier.scopus-author-id | 59114006600 | |
| person.identifier.scopus-author-id | 57213813730 | |
| person.identifier.scopus-author-id | 57202814494 |