Real-Time 3D Model Reconstruction and Mapping for Fashion

被引:0
|
作者
Makarov, Ilya [1 ,2 ]
Chernyshev, Daniil [1 ]
机构
[1] Natl Res Univ Higher Sch Econ, Moscow, Russia
[2] Steklov Inst Math, Samsung PDMI Joint AI Ctr, St Petersburg Dept, St Petersburg, Russia
关键词
garment mapping; human body mesh generation; human pose estimation; image-based modeling; CONVOLUTIONAL NEURAL-NETWORKS; HUMAN POSE ESTIMATION;
D O I
10.1109/tsp49548.2020.9163542
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Recent developments in the apparel market created new tasks for computer vision application. One such challenge is designing a system for trying on clothes virtually in real-time. Proposed solutions require setting up a special stationary system for body capture and mostly generate animated avatar instead of overlaying the garments in real-time. We propose a framework that utilizes state-of-the-art monocular-based 3D skeleton reconstruction and parametric body generation techniques allowing to operate under constrained resources, such as smartphones. In addition, we also consider the problem of dealing with visual artifacts as a result of 3D projection on a real-time image and design a solution to reduce them based on iterative closest point method.
引用
收藏
页码:133 / 138
页数:6
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