Publication
Kinect sensor performance for Windows V2 through graphical processing
dc.contributor.author | Vargas, Javier | |
dc.contributor.author | Mariño, Christian | |
dc.contributor.author | Aldas, Clay | |
dc.contributor.author | Morales, Luis | |
dc.contributor.author | Toasa, Renato | |
dc.date.accessioned | 2025-06-26T15:21:31Z | |
dc.date.available | 2025-06-26T15:21:31Z | |
dc.date.issued | 2018-02-26 | |
dc.description.abstract | The present paper describes a study based on the loss and gain of frames that are obtained through sensors (color, depth, and body tracking) of Kinect V2. For this purpose, it is established a time to obtain each frames per second (FPS), evaluating a performance of sensors in three evaluation instances, using native Kinect V2 libraries and other graphic processing libraries. In addition, several experimental tests were carried out, in order to verify the best performance of a test application based on graphical processing of each sensor. | eng |
dc.identifier.citation | Javier Vargas, Christian Mariño, Clay Aldas, Luis Morales, and Renato Toasa. 2018. Kinect sensor performance for Windows V2 through graphical processing. In Proceedings of the 2018 10th International Conference on Machine Learning and Computing (ICMLC '18). Association for Computing Machinery, New York, NY, USA, 263–268. https://doi.org/10.1145/3195106.3195116 | |
dc.identifier.doi | 10.1145/3195106.3195116 | |
dc.identifier.isbn | 978-1-4503-6353-2 | |
dc.identifier.uri | http://hdl.handle.net/10400.8/13429 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | ACM | |
dc.relation.hasversion | https://dl.acm.org/doi/abs/10.1145/3195106.3195116 | |
dc.relation.ispartof | Proceedings of the 2018 10th International Conference on Machine Learning and Computing | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Kinect V2 | |
dc.subject | graphic processing | |
dc.subject | sensor performance | |
dc.subject | frames | |
dc.title | Kinect sensor performance for Windows V2 through graphical processing | eng |
dc.type | conference paper | |
dspace.entity.type | Publication | |
oaire.citation.conferenceDate | 2018-02-26 | |
oaire.citation.conferencePlace | Macau | |
oaire.citation.endPage | 268 | |
oaire.citation.startPage | 263 | |
oaire.citation.title | ICMLC 2018: 2018 10th International Conference on Machine Learning and Computing | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Kinect sensor performance for Windows V2 through.pdf
- Size:
- 877.2 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.32 KB
- Format:
- Item-specific license agreed upon to submission
- Description: