The Development of a Guidance System using a Robust Markerless Augmented Reality for Out-of-door Exhibitions
| Project/Area Number |
26330238
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Human interface and interaction
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| Research Institution | Okinawa International University |
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Principal Investigator |
NEROME Moeko 沖縄国際大学, 経済学部, 准教授 (60369197)
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| Co-Investigator(Kenkyū-buntansha) |
赤嶺 有平 琉球大学, 工学部, 助教 (00433095)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 拡張現実 / 観光情報案内システム |
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| Outline of Final Research Achievements |
In this study, we proposed and developed a fast specific object detection method using frequency distributions of color and intensity gradient on a target object’s image. Our goal of the study is to develop a digital guidance system for out-of-door exhibitions using augmented reality technique that can run on mobile devices such as smart phones. The proposed method is able to detect specific objects fast and is robust to environmental changes that can be a factor causing a decrease in the precision of the detection such as illumination changes and secular changes. These changes can be occurred out-of-door exhibitions. In addition, our method realizes to perform the detection in practical speed on low power devices such as smart phones because the method requires shorter learning and detection time than “deep learning”.
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Report
(4 results)
Research Products
(4 results)
