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- W2523190720 abstract "OpenCV is a commonly used computer vision library containing a wide variety of algorithms for the AI community. This paper uses deep parameter optimisation to investigate improvements to face detection using the Viola-Jones algorithm in OpenCV, allowing a trade-off between execution time and classification accuracy. Our results show that execution time can be decreased by 48 % if a 1.80 % classification inaccuracy is permitted (compared to 1.04 % classification inaccuracy of the original, unmodified algorithm). Further execution time savings are possible depending on the degree of inaccuracy deemed acceptable by the user." @default.
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- W2523190720 date "2016-01-01" @default.
- W2523190720 modified "2023-09-26" @default.
- W2523190720 title "Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV" @default.
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- W2523190720 doi "https://doi.org/10.1007/978-3-319-47106-8_18" @default.
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