Abstract
This paper establishes a man-machine cooperation system to extract hidden shooting location information from the image data. The system extracts shadow position information (such as the estimated distance between the camera and the object) with the help of humans. Camera Imaging Model (CIM) is created with the knowledge of earth astronomy. This model maps latitude, longitude, and date factors to shadow space. Solar Projection Model (SPM) is established with the pinhole imaging principle. In the shadow space, a swarm intelligence algorithm, fish swarm algorithm, is used to minimizes the location error. The results show that the system can achieve effective extraction of picture depth information. Our algorithm can reduce the solution error to less than 20 km within 30 s.
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Zang, Z., Wang, W., Lu, L., Zhao, Y. (2018). Fish Swarm Based Man-Machine Cooperative Photographing Location Positioning Algorithm. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2018. Lecture Notes in Computer Science(), vol 11151. Springer, Cham. https://doi.org/10.1007/978-3-030-00560-3_36
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DOI: https://doi.org/10.1007/978-3-030-00560-3_36
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