| Budget Amount *help |
¥18,980,000 (Direct Cost: ¥14,600,000、Indirect Cost: ¥4,380,000)
Fiscal Year 2011: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2010: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2009: ¥7,540,000 (Direct Cost: ¥5,800,000、Indirect Cost: ¥1,740,000)
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| Research Abstract |
Recent mid-range laser scanners can capture large-scale point-clouds of manufacturing facilities and industrial plants. This research project aims to develop a new geometry kernel that can handle very large point-clouds. To achieve this goal, we defined a new framework that can unify point-clouds and their 2D images. This framework allows us to very efficiently process large-scale point-clouds. Then we developed algorithms for various point processing methods, and incorporated them into our geometry kernel. In addition, we evaluated algorithms and the kernel using point-clouds of facilities, such as power plants and automobile assembly factories.
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