| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
In this research, we propose a novel method for estimating camera poses from a video sequence using aerial images as an external reference. Conventionally, there was a problem of accumulative errors in camera pose estimation especially in the case that the target video is taken with long-distance movement. In order to solve this problem, we have used feature points on both video images taken in the ground and aerial images. With the experiments, we have confirmed that our method can successfully reduce the accumulation or errors and which can much increase the accuracy of the camera pose estimation.
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