| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Research Abstract |
This study proposes a local feature extraction method for a mobile image retrieval system. We first introduce Lifting Complex Wavelet Transform (LCWT) plays an important role in this work. Since the LCWT has a set of controllable free parameters, we can design the LCWTs with various properties by tuning their parameters. In this study, we construct a set of LCWTs so that they can extract local features from an image by multi-scale. Applying the new set of LCWTs to the training images, a local feature database can be constructed. By using this database, we implement an image retrieval system based on LCWTs on the mobile robot. The main contribution of our method is that the LCWTs can be designed so as to adapt to the environment for the mobile robot.
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