中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [8]
长春光学精密机械与物... [5]
地理科学与资源研究所 [3]
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沈阳自动化研究所 [1]
合肥物质科学研究院 [1]
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OAI收割 [20]
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期刊论文 [13]
会议论文 [5]
学位论文 [2]
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2024 [1]
2023 [1]
2020 [1]
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2011 [2]
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Depth Estimation from a Hierarchical Baseline Stereo with a Developed Light Field Camera
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 2, 页码: 12
作者:
Liu, Fei
;
Hou, Guangqi
|
收藏
|
浏览/下载:25/0
|
提交时间:2024/03/26
light field camera
macro-pixel map
hierarchical baseline
stereo-matching
Evaluation of Simulated CO
2
Point Source Plumes from High-Resolution Atmospheric Transport Model
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15
作者:
Li, Chao
;
Wang, Xianhua
;
Ye, Hanhan
;
Wu, Shichao
;
Shi, Hailiang
|
收藏
|
浏览/下载:29/0
|
提交时间:2023/11/10
CO2 point source
the Lagrangian Particle Dispersion Theory Model
the Adaptive Deep Learning Location Matching Method
high-resolution DEM and artificial building elements
wind field distribution
CO2 plume morphology
aerial flight observations
Using Cherenkov imaging to monitor the match line between photon and electron radiation therapy fields on biological tissue phantoms
期刊论文
OAI收割
Journal of Biomedical Optics, 2020, 卷号: 25, 期号: 12
作者:
Li, Yi
;
Liu, Hongjun
;
Huang, Nan
;
Wang, Zhaolu
;
Zhang, Chunmin
|
收藏
|
浏览/下载:30/0
|
提交时间:2021/01/21
Cherenkov luminescence imaging
radiotherapy
field matching
biological tissue
charge-coupled device
An Infrastructure-Free Indoor Localization Algorithm for Smartphones
期刊论文
OAI收割
SENSORS, 2018, 卷号: 18, 期号: 10, 页码: 24
作者:
Luo, Haiyong
;
Zhao, Fang
;
Huang, Yan
;
Wang, Qu
;
Men, Aidong
|
收藏
|
浏览/下载:43/0
|
提交时间:2019/08/16
indoor positioning
visible light
magnetic field
fingerprints matching
smartphone
High quality depth map estimation of object surface from light-field images
期刊论文
OAI收割
NEUROCOMPUTING, 2017, 卷号: 252, 期号: 252, 页码: 3-16
作者:
Liu, Fei
;
Hou, Guangqi
;
Sun, Zhenan
;
Tan, Tieniu
;
Guangqi Hou
|
收藏
|
浏览/下载:40/0
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提交时间:2018/01/03
Light Field
Depth Estimation
Stereo Matching
Disparity Refinement
A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 5, 页码: 1241-1254
作者:
Liu, Xiliang
;
Liu, Kang
;
Li, Mingxiao
;
Lu, Feng
|
收藏
|
浏览/下载:25/0
|
提交时间:2019/09/25
Map matching
conditional random field
label-bias problem
floating car data
trajectory
robustness
A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 5, 页码: 1241-1254
作者:
Liu, Xiliang
;
Liu, Kang
;
Li, Mingxiao
;
Lu, Feng
|
收藏
|
浏览/下载:21/0
|
提交时间:2019/09/25
Map matching
conditional random field
label-bias problem
floating car data
trajectory
robustness
A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 5, 页码: 1241-1254
作者:
Liu, Xiliang
;
Liu, Kang
;
Li, Mingxiao
;
Lu, Feng
|
收藏
|
浏览/下载:22/0
|
提交时间:2019/09/25
Map matching
conditional random field
label-bias problem
floating car data
trajectory
robustness
Accurate extraction of the self-rotational speed for cells in an electrokinetics force field by an image matching algorithm
期刊论文
OAI收割
Micromachines, 2017, 卷号: 8, 期号: 9, 页码: 1-17
作者:
Niu, Xihui
;
Zhao, Yuliang
;
Li WJ(李文荣)
;
Liang WF(梁文峰)
;
Zhang, Guanglie
|
收藏
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浏览/下载:43/0
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提交时间:2017/10/09
cellular behaviors
electrokinetics field
image-tracking
self-rotation
template-matching
Multi-scale edge extraction based stereo matching algorithm (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010, December 11, 2010 - December 12, 2010, Chongqing, China
作者:
Li L.
收藏
|
浏览/下载:14/0
|
提交时间:2013/03/25
In the field of robot vision
edge feature based stereo matching algorithm can reconstruct the targets with clear contours
which needs accurate and continuous target edges been extracted. In the paper
the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly. (2011) Trans Tech Publications.
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