| DC Field | Value | Language |
|---|
| dc.contributor.author | Qiu, Y. P. Y. | - |
| dc.contributor.author | Ma, J. | - |
| dc.contributor.author | Liao, Z. M. | - |
| dc.date.accessioned | 2022-05-14T11:37:18Z | - |
| dc.date.available | 2022-05-14T11:37:18Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Qiu, Y. P. Y. Object recognition based on skeleton / Y. P. Y. Qiu, J. Ma, Z. M. Liao // Технологии передачи и обработки информации : материалы международного научно-технического семинара, Минск, март-апрель 2022 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2022. – С. 74–76. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/46950 | - |
| dc.description.abstract | In computer vision, representing graphics with important information can reduce the workload of recognition. As an important research content of computer graphics representation, skeleton features are simple in structure, so images can be matched effectively and quickly. Skeleton provides an effective and compact representation of an image object by reducing its dimensionality to a skeleton while preserving the topologic and geometric properties of the object, so using the skeleton to identify the shape has certain advantages. In this paper, we present the key processes of the object recognition based on the skeleton. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | skeleton | ru_RU |
| dc.subject | object recognition | ru_RU |
| dc.title | Object recognition based on skeleton | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Технологии передачи и обработки информации : материалы международного научно-технического семинара (2022)
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