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 |
|