Publication Details
| Article title: | Generating Synthetic Depth Image Dataset for Industrial Applications of Hand Localization |
|---|---|
| Publication type: | Article in foreign journal |
| Journal: | IEEE Access |
| Authors: | |
| Publication year: | 2022 |
| Database: | DOI Web of Science Scopus OBD |
| DOI: | 10.1109/ACCESS.2022.3206948 |
| Scopus EID: | 2-s2.0-85139396288 |
| WOS a.n.: | 000861358100001 |
| OBD ID: | 286112445 (detail záznamu) |
| Kvartil, Impact Factor: | Q2 IF = 3.476 |
| Vazba na projekty: |
[DMS] Platforma pro výzkum orientovaný na Průmysl 4.0 a robotiku v ostravské aglomeraci (CZ.02.1.01/0.0/0.0/17_049/0008425) [SGS 2022] Využití digitalizace robotických systémů při jejich návrhu (SP2022/67) |
Bibliography Citation:
Vysocký, A., Grushko, S., Spurný, T., Pastor, R., Kot, T. Generating Synthetic Depth Image Dataset for Industrial Applications of Hand Localization. IEEE Access. 2022, vol. 10, pp. 99734-99744. ISSN 2169-3536.