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
Monte Carlo analysis of voxel resolution of off-axially distributed image sensing system
点击次数:
论文类型:期刊论文
发表时间:2016-03-15
发表刊物:OPTICS COMMUNICATIONS
收录刊物:SCIE、EI
卷号:363
页面范围:176-180
ISSN号:0030-4018
关键字:Off-axially distributed image sensing; Voxel resolution; Monte Carlo simulation
摘要:In this paper, we present a generalization framework to analyze the effect of voxel resolution on Monte Carlo simulation for off-axially distributed image sensing (ODIS) system under fixed resource constraints. Our framework can evaluate the performance of ODIS systems based on various sensing parameters such as the slanted angle between the optical axis and the moving direction, the number of cameras, the pixel size, the distance between the optical axis and the point source plane and so on. We carry out Monte Carlo simulations based on this framework to evaluate ODIS system performance as a function of sensing parameters. To the best of our knowledge, this is the first report on quantitative analysis of ODIS systems under fixed resource constraints. (C) 2015 Elsevier B.V. All rights reserved.