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Paper Abstract and Keywords
Presentation 2016-02-20 14:40
High-Accuracy Projection Mapping with a Low-Cost Depth Sensor
Yohei Aoki (UEC), Keisuke Maruyama (Kyorin Univ.), Naoki Hashimoto (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, projection mapping which can change the looks of an object by projecting images attracts attention. In order to perform the projection mapping, we should calibration of a projects image’s position to match a projection object’s shape with a projects image. This work is too hard for us to do High-Accuracy Projection Mapping. Well, if we introduce the depth sensor, we can implement it easily, because it can get projection object’s position and attitude. But, the depth sensor’s accuracy of measurement is not high enough. Therefore, in this research, we propose high accuracy projection mapping system with a low-cost depth sensor by high accuracy calibration and improvement the accuracy of measurement using a robust estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) Spatial Augmented Reality / Object detection / 3D Point Cloud / Depth sensor / / / /  
Reference Info. ITE Tech. Rep., vol. 40, no. 5, ME2016-24, pp. 89-92, Feb. 2016.
Paper # ME2016-24 
Date of Issue 2016-02-13 (ME) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee ME  
Conference Date 2016-02-20 - 2016-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanto Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2016-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) High-Accuracy Projection Mapping with a Low-Cost Depth Sensor 
Sub Title (in English)  
Keyword(1) Spatial Augmented Reality  
Keyword(2) Object detection  
Keyword(3) 3D Point Cloud  
Keyword(4) Depth sensor  
1st Author's Name Yohei Aoki  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Keisuke Maruyama  
2nd Author's Affiliation Kyorin University (Kyorin Univ.)
3rd Author's Name Naoki Hashimoto  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Date Time 2016-02-20 14:40:00 
Presentation Time 15 
Registration for ME 
Paper # ME2016-24 
Volume (vol) 40 
Number (no) no.5 
Page pp.89-92 
Date of Issue 2016-02-13 (ME) 

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