Abstract
In this paper, we propose a novel girth measurement system based on multi-view stereo images for garment design. Our system is set in a fixed location to capture three pairs of stereo images for the subject by six calibrated and synchronously triggered cameras. An important feature of this system is the use of an optimized semantic segmentation network that can efficiently segment the girth region in the captured six-view stereo images. Another important feature of this system is the use of color subspace classification and coordinate clustering that can effectively constrain the stereo matching within the scope of markers. Then, the system performs only on the corresponding clusters to extract stereo matching point pairs of markers correctly. The space coordinates of 3D point corresponding to each stereo matching point pair are calculated in each coordinate system of stereo cameras. The unified coordinates of these 3D markers are transformed from three different coordinate systems into one unified coordinate system. Girth is measured by curve fitting of these markers and calculating the length of the fitting curve. Our proposed system performs passive and intelligent girth measurement in garment design, and overcomes the problem of too many invalid stereo matching point pairs in girth measurement. Experimental results demonstrate its accuracy. Our system has a maximum bust measurement error of 1.28cm for woman and 1.31cm for man and a maximum waist measurement error of 1.18cm for woman and 0.99cm for man, which are within the error limit regulated by China national standards GB/T 2664-2017, 2665-2017, 2666-2017 and textile industry standard FZ/T 81004-2012.
Highlights
With the rapid progress of information technology, garment design is developing towards automation and digitalization [1]–[3]
EXPERIMENT SETUP In practical girth measurement test, we adjust the focal length of the six POINT GREY GS3-U3-28S4C-C industrial cameras, so that they can capture the images of the subject with clear markers at a distance of 60cm
We presented a system composed of girth region semantic segmentation, marker stereo matching and coordinates calculation, unified coordinates transformation and girth fitting
Summary
With the rapid progress of information technology, garment design is developing towards automation and digitalization [1]–[3]. They capture the front and side views of the subject, calculate the width and thickness of the measured girth based on the scale, and obtain the girth data by linear regression These dual-view systems are simple and cost effective. Reference [27] reconstructs 3D human body model from the captured multi-view images, and selects the exact cross section of the model to measure the girth. Multi-view registration and surface meshing are carried out to reconstruct the 3D human body model from the 30 point clouds, and the anthropometry is completed This system can achieve high anthropometric accuracy. We propose a novel girth measurement system based on multi-view stereo images for garment design.
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