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

Abstract

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.

Adaptive Body Circumference Measurement Technique using Ellipse Formula

“…Also, variable 'x3' is determined from the chest or waist length, and variable (major axes) 'x4' is determined from the chest or waist breadth (minor axes). Variables x1, x2, x3 and x4 were obtained from two images that we collected earlier from each participant and thereafter added to the software that we have developed to estimate each variable [5].…”