Development of a model-based 3D object recognition method aiming at construction of a system for supporting human activity
| Project/Area Number |
24500209
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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 |
Perception information processing/Intelligent robotics
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
MAEDA Makoto 九州工業大学, 大学院情報工学研究院, 助教 (00274556)
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| Co-Investigator(Kenkyū-buntansha) |
INOUE Katsuhiro 九州工業大学, 大学院情報工学研究院, 教授 (00150516)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| 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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| Keywords | 3次元物体認識 / 注視モデリング / 部分グラフ探索 / 形状記述 / 特徴点照合 / ARメガネ / 注目領域選択 / ヘルスケアモニタリング / 形状記述法 / ３次元物体認識 / 多重解像度形状モデリング / 人間支援システム / 注視領域 / 混合分布モデル / 相互情報量 / 幾何学的照合 / 形状モデリング / 特徴抽出 |
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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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Report
(4 results)
Research Products
(33 results)
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[Presentation] 睡眠の質と脳波の関係に関する研究2014
Author(s)
河崎 柊哉，上園 隆之助，前田 誠，井上 勝裕
Organizer
第33回計測自動制御学会九州支部学術講演会
Place of Presentation
北九州
Year and Date
2014-12-06 – 2014-12-07
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