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http://hdl.handle.net/1942/35821
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | VANHERLE, Bram | - |
dc.contributor.author | PUT, Jeroen | - |
dc.contributor.author | MICHIELS, Nick | - |
dc.contributor.author | VAN REETH, Frank | - |
dc.date.accessioned | 2021-11-16T14:32:45Z | - |
dc.date.available | 2021-11-16T14:32:45Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-11-09T08:46:54Z | - |
dc.identifier.citation | Galambos, Péter; Kayacan, Erdal (Ed.). Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems, Scitepress, p. 40 -47 (Art N° 4) | - |
dc.identifier.isbn | 978-989-758-537-1 | - |
dc.identifier.issn | - | |
dc.identifier.uri | http://hdl.handle.net/1942/35821 | - |
dc.description.abstract | In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To avoid the labor of manual labeling, the network is trained on synthetically generated data. Training computer vision models on computer generated images, while still achieving good accuracy on real images, is a challenge due to the difference in domain. The proposed method uses an advanced rendering method in combination with transfer learning and an intermediate supervision architecture to address this problem. It is shown that the model presented in this paper, named Intermediate Heatmap Model (IHM), generalizes to real images when trained on synthetic data. To avoid the need for an exact textured 3D model of the tool in question, it is shown that the model will generalize to an unseen tool when trained on a set of different 3D models of the same type of tool. IHM is compared to two existing approaches to keypoint detection and it is shown that it outperforms those at detecting tool landmarks, trained on synthetic data. | - |
dc.description.sponsorship | This study was supported by the Special Research Fund (BOF) of Hasselt University. The mandate ID is BOF20OWB24. Research was done in alignment with Flanders Make’s PILS and FAMAR projects. | - |
dc.language.iso | en | - |
dc.publisher | Scitepress | - |
dc.rights | CC BY-NC-ND 4.0 | - |
dc.subject.other | Object Keypoint Detection | - |
dc.subject.other | Deep Learning | - |
dc.subject.other | Synthetic Data Generation | - |
dc.title | Real-time Detection of 2D Tool Landmarks with Synthetic Training Data | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Galambos, Péter | - |
local.bibliographicCitation.authors | Kayacan, Erdal | - |
local.bibliographicCitation.conferencedate | 27-28 october 2021 | - |
local.bibliographicCitation.conferencename | International Conference on Robotics, Computer Vision and Intelligent Systems (ROBOVIS) | - |
local.bibliographicCitation.conferenceplace | Virtual | - |
dc.identifier.epage | 47 | - |
dc.identifier.spage | 40 | - |
local.format.pages | 7 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | https://www.scitepress.org/PublicationsDetail.aspx?ID=rImCAGDna4o%3d&t=1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.bibliographicCitation.artnr | 4 | - |
dc.identifier.doi | 10.5220/0010689900003061 | - |
dc.identifier.isi | 000795862700004 | - |
dc.identifier.eissn | - | |
local.provider.type | CrossRef | - |
local.bibliographicCitation.btitle | Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | no | - |
item.fullcitation | VANHERLE, Bram; PUT, Jeroen; MICHIELS, Nick & VAN REETH, Frank (2021) Real-time Detection of 2D Tool Landmarks with Synthetic Training Data. In: Galambos, Péter; Kayacan, Erdal (Ed.). Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems, Scitepress, p. 40 -47 (Art N° 4). | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2023 | - |
item.contributor | VANHERLE, Bram | - |
item.contributor | PUT, Jeroen | - |
item.contributor | MICHIELS, Nick | - |
item.contributor | VAN REETH, Frank | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
106899.pdf | Published version | 4.95 MB | Adobe PDF | View/Open |
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