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- W2789872893 abstract "The use of the classical Viola-Jones algorithm for human face recognition in the long-wave infrared radiation range is ineffective. The main reason is the need to process redundant information during the integral image representation form creation, as well as using the Haar attributes. It is proposed to use the parametric adaptation of the Viola-Jones algorithm to the quality of the processed thermal image. As an assessment of image quality, it is suggested to use its sharpness. Sharpness is defined as the minimum size of image areas with the same brightness. The implementation of this approach allows us to reasonably determine the minimum size of the integral representation form and also to select the optimal set of Haar attributes. Experimental approbation of the approach confirmed the possibility of increasing the speed of the Viola-Jones algorithm 2.5 and more times." @default.
- W2789872893 created "2018-03-29" @default.
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- W2789872893 date "2018-01-01" @default.
- W2789872893 modified "2023-09-23" @default.
- W2789872893 title "The Viola-Jones algorithm performance enhancement for a person's face recognition task in the long-wave infrared radiation range" @default.
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- W2789872893 doi "https://doi.org/10.1109/eiconrus.2018.8317459" @default.
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