Abstract
The Computer Vision task of extracting body measurements from images has many applications in online shopping, medical, sport & fitness and other fields which require knowing or monitoring body measurements. Ideally, this should be achieved without complex hardware, fast and with high availability. In this chapter, we describe a solution which extracts body measurements using any smartphone with a camera and internet access. Using as input two photos—one frontal and one lateral—and the user’s height, weight, age and gender, our solution can extract more than 100 body measurements with a measurement error less than 5 mm, and an inference time of around 5 s. The solution has two main components, both of which use various Artificial Intelligence techniques. The first component consists of a web widget which gathers the required data from the user and features a virtual assistant which guides the user in the data acquisition process. The second component consists of a measurement engine, which processes the data and returns the body measurements.
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Cojocea, E., Petre, M., Ciocirlan, C., Rebedea, T. (2024). A Fast and Robust Pipeline for Generating 3D Human Models Based on Body Measurements Extraction. In: Kolski, C., Mihăescu, M.C., Rebedea, T. (eds) AI Approaches for Designing and Evaluating Interactive Intelligent Systems. ROCHI 2022. Learning and Analytics in Intelligent Systems, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-031-53957-2_8
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