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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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自动化研究所 [7]
软件研究所 [7]
遥感与数字地球研究所 [4]
地理科学与资源研究所 [1]
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OAI收割 [22]
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会议论文 [13]
期刊论文 [7]
学位论文 [2]
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2022 [1]
2020 [1]
2019 [1]
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SurfaceVoronoi: Efficiently Computing Voronoi Diagrams Over Mesh Surfaces with Arbitrary Distance Solvers
期刊论文
OAI收割
ACM TRANSACTIONS ON GRAPHICS, 2022, 卷号: 41, 期号: 6, 页码: 12
作者:
Xin, Shiqing
;
Wang, Pengfei
;
Xu, Rui
;
Yan, Dongming
;
Chen, Shuangmin
  |  
收藏
  |  
浏览/下载:92/0
  |  
提交时间:2023/03/20
digital geometry processing
geodesic distance
geodesic Voronoi diagram
restricted Voronoi diagram
Robustly computing restricted Voronoi diagrams (RVD) on thin-plate models
期刊论文
OAI收割
COMPUTER AIDED GEOMETRIC DESIGN, 2020, 卷号: 79, 页码: 12
作者:
Wang, Pengfei
;
Xin, Shiqing
;
Tu, Changhe
;
Yan, Dongming
;
Zhou, Yuanfeng
  |  
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2020/06/22
Geometry processing
Restricted Voronoi diagram
Thin plate
Tubular shape
Image deformation based on contour using moving integral least squares
期刊论文
OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 1, 页码: 152-160
作者:
Yu, Chong
;
Chen, Xi
;
Yin, Lei
;
Shu, Chang
;
Zhao, Li
  |  
收藏
  |  
浏览/下载:87/0
  |  
提交时间:2019/07/12
deformation
least squares approximations
optimisation
image registration
splines (mathematics)
computational geometry
feature extraction
medical image processing
deformation function
effective image deformation methods
contour
image deformation method
Integral Least Squares optimisation
control contours
desired contours
intuitive deformations
Elaborate Scene Reconstruction with a Consumer Depth Camera
期刊论文
OAI收割
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 443-453
作者:
Li JW(李建伟)
;
Gao W(高伟)
;
Wu YH(吴毅红)
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/04/22
3d Reconstruction
Simultaneous Localization And Mapping (Slam)
Volumetric Integration
Image Processing
Geometry Registration
Elaborate Scene Reconstruction with a Consumer Depth Camera
期刊论文
OAI收割
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 443-453
作者:
Jian-Wei Li
;
Wei Gao
;
Yi-Hong Wu
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/02/23
3D reconstruction
image processing
geometry registration
simultaneous localization and mapping (SLAM)
volumetric integration.
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine
期刊论文
OAI收割
ieee transactions on image processing, 2016, 卷号: 25, 期号: 11, 页码: 5331-5344
作者:
Han, Zhizhong
;
Liu, Zhenbao
;
Han, Junwei
;
Vong, Chi-Man
;
Bu, Shuhui
收藏
  |  
浏览/下载:38/0
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提交时间:2016/10/09
Circle convolutional restricted Boltzmann machine
deep learning
projection distance distribution
geometry processing
fourier transform modulus
3D shapes
Radar-coding in the application of SAR image classification in the district of glaciers
会议论文
OAI收割
2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013,, Melbourne, VIC, Australia, July 21, 2013 - July 26,2013
Sitao, Fu
;
Zhen, Li
;
Bangsen, Tian
;
Qiang, Xing
收藏
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浏览/下载:30/0
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提交时间:2014/12/07
Synthetic aperture radar
Geology
Geometry
Glaciers
Image classification
Image processing
Radiometry
Remote sensing
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Dong Y.-X.
;
Zhang H.-B.
;
Li Y.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:109/0
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提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system
the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms
such as adaptive background prediction detecting method. When background has dispersion-decreasing structure
the traditional target detection algorithms would be more useful. But when the background has large gray gradient
such as sea-sky-line
sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature
in our opinion
from the perspective of mathematics
the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis
the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection
its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore
the purpose of the image preprocessing is to reduce the effects from noise
also to raise the SNR of image
and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics
the median filter is used to eliminate noise
improve signal-to-noise ratio
then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line
so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Construction of Geo-Ontology Knowledge Base about Spatial Relations
会议论文
OAI收割
2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2011 - In Conjunction with 8th Beijing International Workshop on Geographical Information Science, BJ-IWGIS 2011, Fuzhou, China, June 29, 2011 - July 1, 2011
Zhang,Xue(张雪)
;
Xu,Jun
收藏
  |  
浏览/下载:42/0
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提交时间:2012/05/31
Data mining
Geographic information systems
Geometry
Knowledge based systems
Query processing
Search engines
Semantics
A research on geometric precision correction with high accuracy and high performance
会议论文
OAI收割
2nd International Conference on Multimedia Technology, ICMT 2011,, Hangzhou, China, July 26, 2011 - July 28,2011
Zhao, Lingjun
;
Ma, Yan
;
Liu, Dingsheng
;
Zhang, Wanfeng
;
Wang, Jiang
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2014/12/07
Geometry
Cluster computing
Image reconstruction
Parallel architectures
Parallel processing systems
Remote sensing
Rock mechanics