| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Outline of Final Research Achievements |
The eyeball of human beings can be regarded as an active smart sensor realizing advanced functions, for example the resolution exceeding the conventional measurement limit. They are realized by combining apparent motion generated on the retinal image by the eye movement.
A specific algorithm hierarchically applies a known amount of compensation in terms of image velocity was proposed, and the feasibility of the proposed method was confirmed using a velocity calculation program implementing this method.
Furthermore, we tried to extract higher order motion components such as rotation and divergence from the image excluding large translational component by the compensation method, and confirmed that accurate and stable estimated value can be obtained.
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