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• W2326437503 abstract "ABSTRACTImage matching using local features of an image patch is a primary stage for various higher level computer vision applications such as object recognition, motion tracking, simultaneous localization and mapping, stereo vision, and so on. A feature from accelerated segment test (FAST) has shown to be a superior feature detector in terms of computational speed. In our previous research, we presented a feature detector that improves the speed of FAST. In this study, we extend it to speed up it further. Experimental results on benchmark data-sets reveal that the new method speeds up FAST detector better than our previous detector with marginal improvement in repeatability score. A comprehensive review of related feature detectors is also provided to place our work in context." @default.
• W2326437503 created "2016-06-24" @default.
• W2326437503 creator A5050636891 @default.
• W2326437503 creator A5068333871 @default.
• W2326437503 date "2016-02-29" @default.
• W2326437503 modified "2023-09-24" @default.
• W2326437503 title "Speed-up Feature Detector using Adaptive Accelerated Segment Test" @default.
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• W2326437503 doi "https://doi.org/10.1080/02564602.2015.1103669" @default.
• W2326437503 hasPublicationYear "2016" @default.
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