Abstract
In this work, we present a novel solution and experimental verification for the multi-image object matching problem. We first review the QuickMatch algorithm for multi-image feature matching and then show how it applies to an object matching test. The presented experiment looks to match features across a large number of images and features more often and accurately than standard techniques. This experiment demonstrates the advantages of rapid multi-image matching, not only for improving system performance, but also for use in new applications, such as object discovery and localization.
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This work was supported by the National Science Foundation under grants NRI-1734454, and IIS-1717656.
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Serlin, Z., Sookraj, B., Belta, C., Tron, R. (2020). Consistent Multi-robot Object Matching via QuickMatch. In: Xiao, J., Kröger, T., Khatib, O. (eds) Proceedings of the 2018 International Symposium on Experimental Robotics. ISER 2018. Springer Proceedings in Advanced Robotics, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-030-33950-0_64
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DOI: https://doi.org/10.1007/978-3-030-33950-0_64
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