| Project/Area Number |
17300039
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
SHIBATA Fumihisa Ritsumeikan University, College of Information Science and Engineering, Associate Professor (80314425)
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| Co-Investigator(Kenkyū-buntansha) |
TAMURA Hideyuki Ritsumeikan University, College of Information Science and Engineering, Professor (10367998)
KIMURA Asako Japan Science and Technology Agency, PRESTO, Researcher (20324832)
TENMOKU Ryuhei Ritsumeikan University, Reserch Organization of Science and Engineering, Researcher (30434715)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥15,790,000 (Direct Cost: ¥15,100,000、Indirect Cost: ¥690,000)
Fiscal Year 2007: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2006: ¥4,600,000 (Direct Cost: ¥4,600,000)
Fiscal Year 2005: ¥8,200,000 (Direct Cost: ¥8,200,000)
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| Keywords | Mobile Devices / Augmented Reality / Architecture / Mixed Reality / Content Description / Mobile Phone / PDA / Wearable Computer |
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| Research Abstract |
Outdoor application of augmented reality (AR) and mixed reality (MR) systems using mobile devices is expected to be a rich field. Though there are some developments that implement AR/MR functionality on mobile phones and PDAs, their performance is inadequate. In general, the main reason for this is that today's mobile devices have neither enough computational power nor memory. These limitations could be eliminated soon. Mobile phones will become multifunctional, and we will soon have Ultra-Mobile PCs (UMPC). However, conventional desktop and laptop PCs probably may offer more performance than such UMPCs. As a result, we need to consider frameworks that can overcome the performance differences between various mobile devices, instead of hastily attempting to implement AR/MR functions on a few low-performance devices. We must ensure that we accommodate future device developments, as well as existing performance differences between types and models of devices. In this research, we designed
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and implemented a general architecture of mobile augmented reality systems. We also proposed geometric registration method for augmented reality. In addition, we developed some applications based on our proposed architecture.
1. Design and Implementation of General Architecture
In order to accommodate the performance gaps between various types of mobile devices, we distributed modules, one through seven, to the server and clients. In this architecture, mobile devices are classified into three groups.
2. Geometric Registration Methods
We proposed three image-based geometric registration methods. One of them is a method using vertically installed fish-eye camera that calculates the position based on pattern matching. The others are methods using visually elegant and robust semi-fiducial markers in augmented reality.
3. Applications Based on Our Proposed Architecture
We developed some applications based on our proposed architecture. We developed Cabling Support System, Mobile Navigation System, Campus Guide System, Inspection Support System, and LAN Wiring Support System. Less
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