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个人信息Personal Information
副教授
博士生导师
硕士生导师
性别：男
毕业院校：釜庆国立大学
学位：博士
所在单位：信息与通信工程学院
学科：软件工程. 计算机应用技术. 人工智能. 信号与信息处理
办公地点：大连理工大学创新园大厦B座505室
电子邮箱：yrpiao@dlut.edu.cn
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、Scopus
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.