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  • 教师姓名:张淼
  • 性别:
  • 电子邮箱:miaozhang@dlut.edu.cn
  • 职称:副教授
  • 所在单位:软件学院、国际信息与软件学院
  • 学位:博士
  • 学科:软件工程. 信号与信息处理. 人工智能
  • 毕业院校:光云大学
  • 办公地点:大连理工大学,开发区校区,信息楼 317
论文成果
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Improved 3D reconstruction using group-based sparse representation in integral imaging
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  • 论文类型:会议论文
  • 发表时间:2017-05-29
  • 收录刊物:EI
  • 卷号:Part F47-DH 2017
  • 摘要:In this paper, we present an improved 3D reconstruction method of a partially occluded object by using group-based sparse representation (GSR) in integral imaging. In the proposed method, a 3D scene is recorded as elemental images through a camera array. Then, the foreground occlusions are identified and removed based on variance estimation on the sequence of elemental images. Finally, a GSR is used to restore each elemental image which can improve the visual quality of the reconstructed 3D images. The experimental results can confirm the feasibility of the proposed method. © OSA 2017.
  • 发表时间:2017-05-29