| 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. |
| Download PDF |
|
| 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) |
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| 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) |
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| Keyword(1) |
Spatial Augmented Reality |
| Keyword(2) |
Object detection |
| Keyword(3) |
3D Point Cloud |
| Keyword(4) |
Depth sensor |
| Keyword(5) |
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| 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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| Speaker |
Author-1 |
| Date Time |
2016-02-20 14:40:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
ME2016-24 |
| Volume (vol) |
vol.40 |
| Number (no) |
no.5 |
| Page |
pp.89-92 |
| #Pages |
4 |
| Date of Issue |
2016-02-13 (ME) |
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