Measuring the Human Body from a Single Camera, with Applications to the Clothing and Fashion Industry

Mohammad Montazerian, Frédéric Fol Leymarie · 2022

Using a single RGB camera to obtain accurate body dimensions rather than measuring these manually or via sophisticated multi-camera or laser-based sensors, has a high application potential for the apparel (fashion) industry.We present a system that estimates upper human body measurements using a set of computer vision and machine learning technologies.In a nutshell, the main steps involve: (1) using a portable camera (such as with a smartphone); ( 2) improving the image quality; (3) performing a calibration step; (4) extracting features of the body from the image; (5) indicating markers on the image semi-automatically; (6) producing refined final results.We experimented with the system on a sample of participants.The results for the upper human body measurements in comparison to the main manual method of tape measurements show ±1cm average differences, which is a good enough result for a number of applications.

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