[1]耿曼[][],钱国明[],王宇[]. 虚拟试衣系统服装图像匹配算法研究[J].计算机技术与发展,2017,27(01):126-129.
　GENG Man[] [],QIAN Guo-ming[],WANG Yu[]. Research on Clothing Image Matching of Virtual Fitting Room[J].,2017,27(01):126-129.
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 虚拟试衣系统服装图像匹配算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年01期
页码:
126-129
栏目:
应用开发研究
出版日期:
2017-01-10

文章信息/Info

Title:
 Research on Clothing Image Matching of Virtual Fitting Room
文章编号:
1673-629X（2017)01-0126-04
作者:
 耿曼[1][2];  钱国明[1] ; 王宇[2]
 1.南京邮电大学；2. 中国科学院 上海高等研究院
Author(s):
 GENG Man[1] [2]; QIAN Guo-ming[1];  WANG Yu[2]
关键词:
 ; 虚拟试衣系统; 服装转移算法; Kinect
Keywords:
 ; virtual fitting system; clothing transfer algorithm; Kinect
分类号:
TP301.6
文献标志码:
A
摘要:
 在目前虚拟试衣系统的研究中，服装图像的获取和处理一直是一个关键的研究问题，同时如何根据人体姿态匹配正确的姿态服装图像也一直是虚拟试衣系统中实现实时试衣的关键问题。对前人研究的以轮廓信息作为服装匹配的关键字进行了改进，结合图像识别算法去识别和返回人体的24个关节点的三维坐标，将骨骼信息关节点坐标作为匹配的关键字进行服装图像的转移匹配，然后使用轮廓信息提取算法进行人体轮廓的获取，使后续的转移算法利用当前图像帧轮廓检索数据库，以进行服装图像信息匹配，获取与当前帧最接近的图像帧。实验结果表明，使用人体关节点信息作为服装图像匹配的关键字可以更加快速和准确地检索到要匹配的关键帧服装图像。
Abstract:
 At present,for virtual fitting room research,the acquisition and processing of clothing image has been a key research topics. At the same time,how to match the correct posture clothing image according to the human body posture has also been a key issue of realizing real-time fitting in virtual fitting system. The outline information as a clothing matching keywords of previous studies is improved,and 24 key points of 3d coordinates of human body are recognized and returned combined with image recognition algorithm,using the skeleton information as the matching key words to match clothing transfer image. The Kinect is also used to extract the human body contours,so that the subsequent transfer algorithm can use the current frame profile to retrieve database and match information,obtaining in touch with the current frame closest image frame. Experimental results show that the use of the human body joint point as matching keywords can be more fast and accurate retrieval to match the key frames of clothing image.

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更新日期/Last Update: 2017-04-01