Automatic Anthropometric System Development Using Machine Learning

Long The Nguyen, Huong Thu Nguyen


The contactless automatic anthropometric system is proposed for the reconstruction of the 3D-model of the human body using the conventional smartphone. Our approach involves three main steps. The first step is the extraction of 12 anthropological features. Then we determine the most important features. Finally, we employ these features to build the 3D model of the human body and classify them according to gender and the commonly used sizes. 


Random Forest, feature extraction, anthropometric features, data classification, 3D-model, anthropometry, image processing, artificial intelligence

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