| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Outline of Final Research Achievements |
An object recognition method and a health-care monitoring method using 3D information (shape and depth) were developed to support human activity and life. Some local feature descriptions such as shape histograms or curvature distribution images were proposed for the object recognition technique, so that the recognition was robustly realized by utilizing a method for detecting dense subgraphs from many matching pairs. In having experimented using all 73 objects which were extracted from various measuring devices and had various sizes and accuracy, we had confirmed that the proposed method was able to achieve about 95% recognition rate.
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