![]() |
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
Occlusion removal based on epipolar plane images in integral imaging system
点击次数:
论文类型:期刊论文
发表时间:2019-12-01
发表刊物:OPTICS AND LASER TECHNOLOGY
收录刊物:EI、SCIE
卷号:120
ISSN号:0030-3992
关键字:Integral imaging; Epipolar plane image; Occlusion removal; Parallelogram operator
摘要:Generally, the resolution of reconstructed three-dimensional (3D) images in integral imaging can be seriously degraded by undesired occlusions, where the undesired information of the occlusion overlaps the 3D images to be reconstructed. To solve the problem of occlusion, we proposed an occlusion removal system based on epipolar plane images (EPIs) to remove occlusions in integral imaging. In the system, we proposed a contour based object extraction method to extract the occlusions, which is robust to pose variation of the 3D occlusion objects. Due to the traditional image restoration method is not suitable for the occlusion region with significant textured structure, we proposed a new restoration method based on the EPI. In our proposed restoration method, we utilize the spinning parallelogram operator to analyze the linear structure of the EPI to restore the images. Finally, the enhanced elemental images (EIs) without occlusion are reconstructed in the integral imaging system. The preliminary experiments are presented to verify the feasibility of the proposed system.