摘要
针对人体个性化姿态的动态感知以及服装模型对人体姿态动作的跟踪匹配精度低的问题,提出了一种基于人体动态特征的三维服装骨骼点分层模型,区分躯干(整体)与四肢(局部)的运动特征,并融合了基于Kinect体感设备的人体围度数据;设计了整体-局部分解算法,分层控制三维服装骨骼模型对人体姿态动作的高精度跟踪。经真人虚拟试穿的测试结果表明:新方法的相对跟踪误差降低约10%,明显改善了虚拟服装对人体姿态的实时跟踪精度,提高了服装模型与真人体型的匹配精度,支持裙子、裤子、上衣等服装类型的复杂姿态(抬腿、弓步等)试穿场景。
Aiming at the dynamic perception of personalized postures and the tracking and matching of human body′s posture by clothing modeling,this paper established the hierarchical 3-D clothing skeleton points model based on two types of the motion features of the human postures,distinguishing the trunk(global)from the limbs(local),and integrating the clothing model with the body circumferencial features extracted using Kinect camera.In parallel,the global-local singular value decomposition algorithm(GL-SVD)was designed to hierarchically control the deformation of 3-D clothing skeleton model cooperatively.The results from virtual try-on test system show that relative tracking error of the new method is reduced by about 10%,the real-time tracking accuracy and matching precision between the clothing model and the human body is obviously improved.This new technique supports the complex posture(such as leg lifts,lunges)trying-on scenarios of various clothing types such as skirts,pants,tops,and more.
作者
黎博文
王萍
刘玉叶
LI Bowen;WANG Ping;LIU Yuye(College of Information Science and Technology, Donghua University, Shanghai 201620, China)
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2021年第9期144-149,共6页
Journal of Textile Research
关键词
三维虚拟试穿
人体动态特征
协同跟踪
服装骨骼点分层模型
整体-局部分解
3-D virtual try-on
dynamic features of human body
cooperative tracking
hierarchical model of clothing skeleton points
global-local singular value decomposition
