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Paper Abstract and Keywords
Presentation 2017-03-14 11:15
Illumination estimation based on human visual characteristics for Augmented Reality
Yuki Oyama, Hiroki Takahashi (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) In AR(Augmented Reality) technology, it is important to synthesize realistic images that users do not feel strange. It is necessary in order to realize photometric registration for synthesizing realistic AR images. It should be estimated illumination environment in the real world. In this paper, questionnaire is taken from users to analyze factors that affect the users to feel strange with synthetic AR images. This paper proposes a simple method based on the human visual characteristics. A light source position estimation method is proposed by using a monocular camera and a cast shadow projected from a cylindrical object. AR images are generated using an estimated light source information. Usefulness of the proposed method is presented by the user questionnaire.
Keyword (in Japanese) (See Japanese page) 
(in English) AR / Light source estimation / photometric registration / / / / /  
Reference Info. ITE Tech. Rep., vol. 41, no. 12, AIT2017-87, pp. 145-148, March 2017.
Paper # AIT2017-87 
Date of Issue 2017-03-07 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2017-03-14 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ochanomizu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AIT 
Conference Code 2017-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Illumination estimation based on human visual characteristics for Augmented Reality 
Sub Title (in English)  
Keyword(1) AR  
Keyword(2) Light source estimation  
Keyword(3) photometric registration  
1st Author's Name Yuki Oyama  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Hiroki Takahashi  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2017-03-14 11:15:00 
Presentation Time 90 minutes 
Registration for AIT 
Paper # AIT2017-87 
Volume (vol) vol.41 
Number (no) no.12 
Page pp.145-148 
Date of Issue 2017-03-07 (AIT) 

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