中国科学院机构知识库网格
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Improved Gaussian process classification via feature space rotation 期刊论文  OAI收割
NEUROCOMPUTING, 2012, 卷号: 83, 页码: 89-97
作者:  
Wang, Liang;  Leckie, Christopher A.
收藏  |  浏览/下载:19/0  |  提交时间:2015/08/12
Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者:  
Wang X.;  Wang X.;  Wang X.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Using of SIFT algorithm in the image of teeth model  can detect the features of the teeth image effectively. In this approach  first  search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second  select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third  assign one or more orientations to each keypoint location based on local image gradient directions. Last  measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods  this method can detect the features of the teeth model effectively  and offer some available parameters for 3D reconstruction of the teeth model. the authors.  
Stochastic differential equations with coefficients in Sobolev spaces 期刊论文  OAI收割
JOURNAL OF FUNCTIONAL ANALYSIS, 2010, 卷号: 259, 期号: 5, 页码: 1129-1168
作者:  
Fang, Shizan;  Luo, Dejun;  Thalmaier, Anton
  |  收藏  |  浏览/下载:21/0  |  提交时间:2018/07/30
Phase error estimation with broadband white light by Phase Diversity (EI CONFERENCE) 会议论文  OAI收割
6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China
作者:  
Wang Z.;  Wang B.;  Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
The technique of Phase Diversity (PD) is widely adopted to measure the wavefront error caused by atmosphere turbulence and system error. PD solves the Zernike coefficients of the wavefront by utilizing two images obtained with different defocus value. In this paper  we propose a method to restore the image and estimate the wavefront error of an imaging system. And we use present white noises to verify the robustness of the algorithm. We design an experiment system and implement it in our laboratory. The proposed algorithm is validated by computer simulations and experimental results. To use a broadband white object in experimental system a reasonable simplification for the system model is done. Our results show that the robustness against Gaussian white noises of the method is better then the case when the variance value is 0.03. The proposed method can be used as a wavefront sensor and restore the degradative images by photoelectric image system. 2010 SPIE.  
Numerical investigation for the properties of nonintegrable quantum systems eigenspace in the line of quantum-classical correspondence 期刊论文  OAI收割
COMMUNICATIONS IN THEORETICAL PHYSICS, 2001, 卷号: 35, 页码: 417-424
作者:  
Xing, YZ;  Xu, GO;  Li, JQ
  |  收藏  |  浏览/下载:18/0  |  提交时间:2018/05/31