2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI) 2020
DOI: 10.1109/sami48414.2020.9108735
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Shape Recognition in Drone Images Using Simplified Fuzzy Indexing Tables

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Cited by 8 publications
(7 citation statements)
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“…Furthermore, it can also provide a solution in the case of cultural heritage preservation [18]. With the help of cloud-based services, it is also possible to quickly recognize shapes from the data provided by drones [19], [20].…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, it can also provide a solution in the case of cultural heritage preservation [18]. With the help of cloud-based services, it is also possible to quickly recognize shapes from the data provided by drones [19], [20].…”
Section: Resultsmentioning
confidence: 99%
“…With their help, life-like scaleddown copies of various 3D shapes can be created using stereophotogrammetry [28] [29]. Moreover, different shape recognition solutions can also be used [30] [31].…”
Section: Resultsmentioning
confidence: 99%
“…Then, it is sufficient that all values are different. This can then be transformed into an ordered list according to (41)(42) with a simple auxiliary routine. The name of the nonlinear limiting function is Korfel_fv.…”
Section: Determining the Optimal Access Routementioning
confidence: 99%
“…The image was first segmented into regions, then the contours were analyzed, and shape descriptors were built, which were used as inputs to the classifier. Simplified sequential fuzzy indexing tables were used for pattern recognition, so that very fast and robust inferences could be made [41][42][43].…”
mentioning
confidence: 99%