| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
This study developed diminished reality methods for visually removing real objects from video images in real time in video see-through augmented reality. Specifically, we developed two methods for the cases when target objects are augmented reality markers and general objects. For augmented reality markers, we achieved real-time marker removal by automatically detecting AR markers and generating background images behind markers using image inpainting, and overlaying the generated images on the marker regions with geometric and photometric corrections. For general objects, we first estimated camera poses and geometry behind a target object on the basis of a SLAM (Simultaneous Localization and Mapping) technique. We then achieved real-time removal of general objects for a 3D scene by generating background images using image inpainting and overlaying the generated images with geometric and photometric corrections using the estimated camera poses and background geometry.
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