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作者:

Zhang, Yong (Zhang, Yong.) (学者:张勇) | Chen, Lufei (Chen, Lufei.) | Tan, Fei (Tan, Fei.) | Wang, Shaofan (Wang, Shaofan.) | Yin, Baocai (Yin, Baocai.) (学者:尹宝才)

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EI Scopus SCIE

摘要:

Three-dimensional human body curve-skeleton is widely used in pose estimation, skeleton animation and other fields. This paper proposes an improved l(1) median model that can extract three-dimensional human body curve-skeleton. The model includes three-dimensional human body reconstruction from multi-view images, interpolation curve-skeleton extraction, l(1) median skeleton completion, and continuous frame curve-skeleton optimization. Through the completion and optimization processes, the curve-skeleton we extract is smoother and more complete compared with previous methods. We conduct experiments on multi-view human body image dataset collected from light field acquisition system. Both quantitative and qualitative results demonstrate the effectiveness of our model.

关键词:

Curve-skeleton extraction Continuous frames optimization l(1) median model Shape segmentation

作者机构:

  • [ 1 ] [Zhang, Yong]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing Inst Artificial Intelligence, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Lufei]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing Inst Artificial Intelligence, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Tan, Fei]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing Inst Artificial Intelligence, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Wang, Shaofan]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing Inst Artificial Intelligence, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Yin, Baocai]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing Inst Artificial Intelligence, Fac Informat Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • [Wang, Shaofan]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing Inst Artificial Intelligence, Fac Informat Technol, Beijing 100124, Peoples R China

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来源 :

MULTIMEDIA TOOLS AND APPLICATIONS

ISSN: 1380-7501

年份: 2021

期: 24

卷: 80

页码: 33547-33571

3 . 6 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:87

JCR分区:2

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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