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Person Recognition Based on Anthropometric Proportions
Šimún, Samuel ; Semerád, Lukáš (oponent) ; Goldmann, Tomáš (vedoucí práce)
This bachelor thesis focuses on the potential use of biometrics and machine learning. It discusses in detail anthropometric characteristics, their evolution and the potential of using these characteristics for person identification. It analyzes the potential uses of machine learning and what technologies exist for extracting a person's pose from an image for outputting the pose in the second dimension and in the third dimension. Also, the thesis describes and implements specific methods that use anthropometric features for person identification.

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