中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
沈阳自动化研究所 [2]
长春光学精密机械与物... [1]
过程工程研究所 [1]
自动化研究所 [1]
软件研究所 [1]
采集方式
OAI收割 [6]
内容类型
会议论文 [3]
期刊论文 [3]
发表日期
2018 [2]
2017 [2]
2013 [1]
2012 [1]
学科主题
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A directional-progressive search method for infrared small target detection
会议论文
OAI收割
Shenzhen, China, September 4-7, 2018
作者:
Ding QH(丁庆海)
;
Chang Z(常铮)
;
Hui B(惠斌)
;
Luo HB(罗海波)
;
Zhang XY(张祥越)
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2018/12/24
infrared image
target detection
zero-crossing point
facet model
Shape-Dependent Aggregation of Silver Particles by Molecular Dynamics Simulation
期刊论文
OAI收割
CRYSTALS, 2018, 卷号: 8, 期号: 11
作者:
Wang, X
;
Hou, CF
;
Li, CX
;
Han, YS
;
Wang, Xue
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2018/12/29
silver nanoparticle
ORIENTED-ATTACHMENT GROWTH
aggregation process
CRYSTAL-GROWTH
facet area
NANOPARTICLES
surface energy
AG
collision frequency
KINETICS
ENERGY
MODEL
Accurate mesh-based alignment for ground and aerial multi-view stereo models
会议论文
OAI收割
Beijing, China, 2017-9-14~17
作者:
Zhou Y(周洋)
;
Shen SH(申抒含)
;
Gao X(高翔)
;
Hu ZY(胡占义)
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/04/30
Skeleton Facet Set
Model Alignment
Mesh Correspondence
Infrared small target detection based on directional zero-crossing measure
期刊论文
OAI收割
Infrared Physics and Technology, 2017, 卷号: 87, 页码: 113-123
作者:
Hui B(惠斌)
;
Zhang JC(张俊超)
;
Ding QH(丁庆海)
;
Luo HB(罗海波)
;
Chang Z(常铮)
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/12/02
Infrared image
Small target detection
Facet model
Zero-crossing point
FODD filter
DaisyVA:支持信息多面体可视分析的智能交互式可视化平台
期刊论文
OAI收割
计算机辅助设计与图形学学报, 2013, 卷号: 25, 期号: 8, 页码: 1177-1182
杜一
;
任磊
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2014/12/16
信息可视化
可视分析
人机交互
界面模型
信息多面体
信息可视化工具箱
information visualization
visual analytics
human computer interaction
interface model
multi-facet information
information visualization toolkit
A sub-pixel extraction method for the center of the circular structure from spot array calibration target (EI CONFERENCE)
会议论文
OAI收割
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
作者:
Liu Y.
;
Zhang T.
;
Yang H.
;
Gao X.
;
Liu Y.
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2013/03/25
The imaging measurement system must be calibrated before application. In calibration procedure
sub-pixel center extraction is the crucial step for the final accuracy. In this paper
a new sub-pixel extraction method is proposed. Edge detection at pixel level is obtained using LOG operator
then sub-pixel edge detection is realized using the Facet model. Finally
the least squares ellipse fitting is operated on the sub-pixel edge to determine the sub-pixel center. Experiment on a series of simulated images indicates that this algorithm is able to realize the center location accuracy of 0.01-0.02 pixel
and meets the requirement of sub-pixel level. (2012) Trans Tech Publications
Switzerland.