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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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Effective reconstruction of a partially occluded 3-D target by using a pixel restoration scheme in computational integral-imaging
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  • 论文类型:期刊论文
  • 发表时间:2012-11-01
  • 发表刊物:OPTICS AND LASERS IN ENGINEERING
  • 收录刊物:SCIE、EI
  • 卷号:50
  • 期号:11
  • 页面范围:1602-1610
  • ISSN号:0143-8166
  • 关键字:Computational integral imaging; Partially occluded 3D target; Pixel restoration
  • 摘要:In this paper, we propose an effective approach for visibility-enhanced reconstruction of a partially occluded 3-D target by using the pixel-restoration method in the computational integral-imaging system. In the proposed method, elemental images (EIs) of the 3-D target that are partially occluded by a foreground object are picked up and transformed into sub-images (SIs). By using the block-matching algorithm then, the occluded target regions of each sub-image are estimated and removed. After that, the missing pixels in each sub-image are re-established by using the proposed pixel-restoration method. Finally, these restored SIs are converted back into the newly modified EIs, from which the resolution-enhanced target can be reconstructed with the computational integral-imaging reconstruction (CIIR) method. Successful experiments with the test objects confirm the feasibility of the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.
  • 发表时间:2012-11-01