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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Youngseo Cha DaeEun Kim |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electrical and Electronic Engineering, Yonsei University, Shinchon, Seoul, 120-749, Korea (Youngseo Cha; DaeEun Kim) |
| Abstract | It is known that many insects use optical flow as means of homing navigation. Even though insects have a relatively small number of neurons to estimate spatial information, compared with mammals, insects can maintain high performance of homing navigation to return home. This implies that a navigation model of insect vision using optical flow has high efficiency. There have been suggested many models of optical flow as how to explain accuracy of homing navigation of insects. In this paper, we introduce simple image matching based on optical flow to estimate the movement of agents for homing navigation. The optical flow made from Kanade-Lucas-Tomashi(KLT) algorithm has pattern regularity for agent movements. Hence, the agent can guess its own locomotion pattern, estimate distance from homimg direction, navigate through a distribution of patterns. |
| Starting Page | 1446 |
| Ending Page | 1451 |
| File Size | 832238 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467322478 |
| e-ISBN | 9788993215045 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-17 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | ICROS |
| Subject Keyword | Biomedical optical imaging Navigation Optical distortion biomimetic insect vision Optical imaging Vectors optical flow KLT algorithm image matching navigation Cameras Adaptive optics omni-directional bio-inspired |
| Content Type | Text |
| Resource Type | Article |
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