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Paper Abstract and Keywords
Presentation 2024-09-02 14:30
[Invited Talk] Deep Learning in Projection Mapping
Daisuke Iwai (UOsaka)
Abstract (in Japanese) (See Japanese page) 
(in English) Projection mapping (PM) allows users to experience virtual and augmented reality without wearing displays by projecting imagery onto real-world objects. A significant technical challenge in PM is compensating for image quality degradation caused by various factors in the physical world, such as geometric distortion, photometric distortion, and defocus. Conventional techniques have modeled these degradation processes individually and solved the corresponding inverse problems. However, recent advancements have shifted towards using deep learning to compensate for these degradations in an end-to-end manner without explicitly modeling the degradation processes. This method has shown superior performance compared to conventional techniques. Additionally, there are emerging efforts to automatically generate PM content tailored to the context of the scene using generative AI. This invited talk will provide an overview of such deep learning technologies in projection mapping.
Keyword (in Japanese) (See Japanese page) 
(in English) Projection Mapping / Deep Learning / Neural Network / Generative AI / / / /  
Reference Info. ITE Tech. Rep., vol. 48, pp. 36-39, Sept. 2024.
Paper #  
Date of Issue 2024-08-26 (IDY, AIT, 3DMT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee OSJ-HODIC AIT 3DMT IDY IEICE-EID IEE-OQD SID-JC  
Conference Date 2024-09-02 - 2024-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SID-JC 
Conference Code 2024-09-HODIC-AIT-3DMT-IDY-EID-OQD-JC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning in Projection Mapping 
Sub Title (in English)  
Keyword(1) Projection Mapping  
Keyword(2) Deep Learning  
Keyword(3) Neural Network  
Keyword(4) Generative AI  
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1st Author's Name Daisuke Iwai  
1st Author's Affiliation University of Osaka (UOsaka)
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Speaker Author-1 
Date Time 2024-09-02 14:30:00 
Presentation Time 30 minutes 
Registration for SID-JC 
Paper # IDY2024-39, AIT2024-161, 3DMT2024-50 
Volume (vol) vol.48 
Number (no) no.28 
Page pp.36-39 
#Pages
Date of Issue 2024-08-26 (IDY, AIT, 3DMT) 


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