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自动化研究所 [6]
数学与系统科学研究院 [5]
长春光学精密机械与物... [2]
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期刊论文 [10]
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Spectral Analysis, Properties and Nonsingular Preconditioners for Singular Saddle Point Problems
期刊论文
OAI收割
COMPUTATIONAL METHODS IN APPLIED MATHEMATICS, 2018, 卷号: 18, 期号: 2, 页码: 237-256
作者:
Huang, Na
;
Ma, Chang-Feng
;
Zou, Jun
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/07/30
Singular Saddle Point Problems
Preconditioners
Spectral Estimates
Obstacle avoidance method of robot based on admittance control
会议论文
OAI收割
Wuyishan, China, August 11-13, 2018
作者:
Hu HS(胡红爽)
;
Tan XW(谈晓伟)
;
Jiang Y(姜勇)
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2019/09/28
human-computer interaction
Kinect
admittance control
obstacle avoidance
singular point index
Positive solutions for singular elliptic systems with convection term
期刊论文
OAI收割
JOURNAL OF FIXED POINT THEORY AND APPLICATIONS, 2017, 卷号: 19, 期号: 3, 页码: 2165-2175
作者:
Motreanu, Dumitru
;
Moussaoui, Abdelkrim
;
Zhang, Zhitao
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/07/30
Singular system
convection term
Schauder's fixed-point theorem
regularity
Optimal L-infinity Estimates for Galerkin Methods for Nonlinear Singular Two-point Boundary Value Problems
期刊论文
OAI收割
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2015, 卷号: 31, 期号: 3, 页码: 719-728
作者:
Zhang, Xu
;
Shi, Zhong-ci
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2018/07/30
singular
two-point boundary value problems
symmetric Galerkin method
maximum norm error estimate
superconvergence
local mesh refinement
Singularly perturbed boundary value problems for a class of second order turning point on infinite interval
期刊论文
OAI收割
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2012, 卷号: 28, 期号: 3, 页码: 485-494
作者:
Lu, Hai-bo
;
Ni, Ming-kang
;
Wu, Li-meng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2015/09/09
singular perturbation
asymptotic expansion
turning point
infinite interval
Fingerprint Singular Point Detection Based on Multiple-Scale Orientation Entropy
期刊论文
OAI收割
IEEE SIGNAL PROCESSING LETTERS, 2011, 卷号: 18, 期号: 11, 页码: 679-682
作者:
Chen, Hongtao
;
Pang, Liaojun
;
Liang, Jimin
;
Liu, Eryun
;
Tian, Jie
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2015/08/12
Entropy
multiple-scale analysis
orientation field
orientation field flow curve
singular point detection
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:111/0
  |  
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).
On semi-convergence of parameterized Uzawa methods for singular saddle point problems
期刊论文
OAI收割
LINEAR ALGEBRA AND ITS APPLICATIONS, 2009, 卷号: 431, 期号: 5-7, 页码: 808-817
作者:
Zheng, Bing
;
Bai, Zhong-Zhi
;
Yang, Xi
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收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/07/30
Saddle point problem
Singular matrix
Parameterized Uzawa method
Semi-convergence
Optimal iteration parameters
Semi-convergence factor
A Scale Stretch Method Based on ICP for 3D Data Registration
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2009, 卷号: 6, 期号: 3, 页码: 559-565
作者:
Ying, Shihui
;
Peng, Jigen
;
Du, Shaoyi
;
Qiao, Hong
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2015/08/12
Initial registration
iterative closest point (ICP)
large-scale stretch
singular value decomposition (SVD)
3D registration
Color image quality assessment based on quaternion representation for the local variance distribution of RGB Channels (EI CONFERENCE)
会议论文
OAI收割
2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China
Yuqing W.
;
Ming Z.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
In this paper
Quaternions are used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is reinforced by using local variance. It encodes the local variance distribution of the RGB channels of a color image into the three imaginary parts of a quaternion. The luminance layer of the color image is taken as the real part of the quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The final assessment result is calculated by using the mid point of the distances. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods. 2009 IEEE.