On the Application of Egocentric Computer Vision to Industrial Scenarios
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916283516190720 |
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| author | Chavan, Vivek Heimann, Oliver Krüger, Jörg |
| author_facet | Chavan, Vivek Heimann, Oliver Krüger, Jörg |
| contents | Egocentric vision aims to capture and analyse the world from the first-person perspective. We explore the possibilities for egocentric wearable devices to improve and enhance industrial use cases w.r.t. data collection, annotation, labelling and downstream applications. This would contribute to easier data collection and allow users to provide additional context. We envision that this approach could serve as a supplement to the traditional industrial Machine Vision workflow. Code, Dataset and related resources will be available at: https://github.com/Vivek9Chavan/EgoVis24 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_07738 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On the Application of Egocentric Computer Vision to Industrial Scenarios Chavan, Vivek Heimann, Oliver Krüger, Jörg Computer Vision and Pattern Recognition Egocentric vision aims to capture and analyse the world from the first-person perspective. We explore the possibilities for egocentric wearable devices to improve and enhance industrial use cases w.r.t. data collection, annotation, labelling and downstream applications. This would contribute to easier data collection and allow users to provide additional context. We envision that this approach could serve as a supplement to the traditional industrial Machine Vision workflow. Code, Dataset and related resources will be available at: https://github.com/Vivek9Chavan/EgoVis24 |
| title | On the Application of Egocentric Computer Vision to Industrial Scenarios |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2406.07738 |