Generation of a 3D model of the inside volume of shoes for e-commerce applications using industrial X-ray computed tomography

Abstract In 2018, 47% of global internet users had purchased footwear products through the internet, making it second most popular online shopping category worldwide right after clothing with 57%. same year, on average, about every sixth parcel delivered in Germany (16.3%) was returned. With effort and costs that are associated return shoes, objective reducing number returns for shoes promises an enormous economic potential helps to reduce CO 2 emissions due a lower traffic volume. This paper presents workflow determining inside volume surface using industrial x-ray computed tomography (CT). The fundamental idea is based Region Growing (RG) method segmentation shoe’s inner Experiments performed illustrate correlation image quality result. After obtaining 3D model individual foot, data scanned shoe can then be registered evaluated order provide reliable feedback customer regarding accuracy fit foot basis overall ‘metric comfort’ before buying online. step not part work at hand. Conclusions drawn suggestions improving robustness flexibility given, so adapted various types implemented fully automated measurement process future.