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Kinect sensor performance for Windows V2 through graphical processing

2018-02-26Comunicação em conferência Acesso aberto
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dc.contributor.authorVargas, Javier
dc.contributor.authorMariño, Christian
dc.contributor.authorAldas, Clay
dc.contributor.authorMorales, Luis
dc.contributor.authorToasa, Renato
dc.date.accessioned2025-06-26T15:21:31Z
dc.date.available2025-06-26T15:21:31Z
dc.date.issued2018-02-26
dc.description.abstractThe 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.citationJavier 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.doi10.1145/3195106.3195116
dc.identifier.isbn978-1-4503-6353-2
dc.identifier.urihttp://hdl.handle.net/10400.8/13429
dc.language.isoeng
dc.peerreviewedyes
dc.publisherACM
dc.relation.hasversionhttps://dl.acm.org/doi/abs/10.1145/3195106.3195116
dc.relation.ispartofProceedings of the 2018 10th International Conference on Machine Learning and Computing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectKinect V2
dc.subjectgraphic processing
dc.subjectsensor performance
dc.subjectframes
dc.titleKinect sensor performance for Windows V2 through graphical processingeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2018-02-26
oaire.citation.conferencePlaceMacau
oaire.citation.endPage268
oaire.citation.startPage263
oaire.citation.titleICMLC 2018: 2018 10th International Conference on Machine Learning and Computing
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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