Record link: 
http://hdl.handle.net/20.500.12708/150266
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Title: 
Color-Light Multi Cascade Network for Single Image Depth Prediction on One Perspective Artifact Images
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Citation: 
Frisky, A. Z. K., Brenner, S., Zambanini, S., & Sablatnig, R. (2022). Color-Light Multi Cascade Network for Single Image Depth Prediction on One Perspective Artifact Images. In G. F. Farinella, P. Radeva, & K. Bouatouch (Eds.), Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 909–916). https://doi.org/10.5220/0010801100003124
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Publisher DOI: 
10.5220/0010801100003124
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
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Authors: 
Frisky, Aufaclav Zatu Kusuma 
Brenner, Simon 
Zambanini, Sebastian 
Sablatnig, Robert 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Published in: 
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 
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ISBN: 
978-989-758-555-5
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DOI of the book: 
10.5220/0000156800003124
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Date (published): 
2022
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Event name: 
17th International Conference on Computer Vision Theory and Applications (VISAPP) 
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Event date: 
6-Feb-2022 - 8-Feb-2022
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Event place: 
Unknown
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Number of Pages: 
8
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Peer reviewed: 
Yes
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Keywords: 
Archeological artifacts; Depth Prediction; Multi-Cascade Network; Computer Vision; Deep Learning
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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