| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
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| Outline of Final Research Achievements |
To improve recognition accuracy of clouded objects, we employ RGB-D sensor to achieve 3D shape data. For an object which changes its posture by getting on other objects, we apply view point transform to normalize its appearance to improve recognition accuracy. For an object which partially concealed by other objects, we extract shape features for its convex envelope to improve recognition accuracy. We also discuss optimum positioning of camera set to achieve best recognition accuracy.
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