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dc.contributor.author | Arslanova D.V. | |
dc.contributor.author | Grishin A.E. | |
dc.contributor.author | Denisov A.I. | |
dc.contributor.author | Galimullin D.Z. | |
dc.contributor.author | Denisova N.V. | |
dc.contributor.author | Makarov R.A. | |
dc.contributor.author | Sibgatullin M.E. | |
dc.date.accessioned | 2021-02-25T06:52:13Z | |
dc.date.available | 2021-02-25T06:52:13Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/161188 | |
dc.description.abstract | © Published under licence by IOP Publishing Ltd. This paper presents an approach to finding key points in the image of a hand using heat maps. For this, a convolutional model of a neural network and a training method on heatmaps were combined. An open bank of palm photos, supplemented by a set of own images and synthetic data, was used as a dataset. Direct and inverse transformations of two-dimensional coordinates on the plane into heat maps with a 2D Gaussian function centered at coordinate points were applied, data was prepared, the model was trained and tested. As a result of this approach, a neural network model able to recognise real world images was obtained. | |
dc.relation.ispartofseries | Journal of Physics: Conference Series | |
dc.title | Finding key points in a hand image using heatmaps | |
dc.type | Conference Paper | |
dc.relation.ispartofseries-issue | 1 | |
dc.relation.ispartofseries-volume | 1628 | |
dc.collection | Публикации сотрудников КФУ | |
dc.source.id | SCOPUS17426588-2020-1628-1-SID85096487299 |