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CAS IR Grid
机构
长春光学精密机械与物... [3]
过程工程研究所 [1]
自动化研究所 [1]
近代物理研究所 [1]
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OAI收割 [6]
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会议论文 [3]
期刊论文 [2]
学位论文 [1]
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2013 [2]
2011 [2]
2010 [1]
2007 [1]
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Study of the heavy ion bunch compression in CSRm
期刊论文
OAI收割
CHINESE PHYSICS C, 2013, 卷号: 37
作者:
Yang Jian-Cheng
;
Yuan You-Jing
;
Li Peng
;
Chai Wei-Ping
;
Li Jie
  |  
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2018/07/05
Csrm
Bunch Compression
Fast Rotation
Short Pulse Duration
Extra projection data identification method for fast-continuous-rotation industrial cone-beam CT
期刊论文
OAI收割
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2013, 卷号: 21, 期号: 4, 页码: 467-479
作者:
Yang, Min
;
Duan, Shengling
;
Duan, Jinghui
;
Wang, Xiaolong
;
Li, Xingdong
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2015/05/05
Cone-beam CT
fast-continuous-rotation scanning
data redundancy
structural similarity
快速图像匹配算法研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者:
李兵
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2015/09/02
实时性
快速模板匹配
简单纹理
复杂纹理
图像扭曲
视角变化
海明距离
快速图像旋转
real-time
fast template matching
untextured objects
textured objects
image deformation
perspective change
hamming distance
fast image rotation
Non-linear compensation algorithm of LOS locating in aerial remote sensor (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
作者:
Li J.
;
Li Y.
;
Li Y.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2013/03/25
A non-linear light-of-sight(LOS) locating compensation algorithm for certain aerial remote sensor is presented in this paper. The LOS locating system is composed of two main components
which are an inertial reference frame to provide coarse LOS locating and a 2-axis Fast Steering Mirror to remove the frame's residual error. The azimuth and elevation of LOS are both affected by the FSM two-degree-of-freedom rotation
which should be dealt with to raise the accuracy of LOS location. This paper extrapolates LOS locating algorithm of FSM by coordinate transformation
and gives corresponding deviation analysis for different LOS poiting angles. It is found that the angle deviation grows rapidly with range of FSM's travel enlarging
so the deviation must be eliminated. Through the data analysis for deviation
a non-linear compensation algorithm is proved effective to reduce the error of LOS significantly. Taking LOS changing in [-3 deg
3 deg] as an example
two analytic expressions are given
and the LOS locating accuracy rises by 34 times compared with non-linear compensation unused
and the cross coupling of LOS loating is 0.08%. 2011 IEEE.
Parallel estimation of translation for video stabilization (EI CONFERENCE)
会议论文
OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者:
Wang H.
;
Liu G.
;
Wang H.
;
Wang H.
;
Wang H.
收藏
  |  
浏览/下载:102/0
  |  
提交时间:2013/03/25
Translation motion estimation is the major aspect of video motion compensation
especially in two-dimensional turntable. This paper presents a robust parallel estimation algorithm of translation in video stabilization system. The equivalent model of translation that derived is accorded with small rotation angle comparatively. A parallel algorithm based on grey mapping is used in local motion estimation to shorten the estimation time and improve the computation efficiency. After local motion vectors are calculated
a fast filter can detect the spurious vectors avoiding possible jerks. The suggested translation estimation algorithm has been implemented on NVIDIA GTX 260
the experimental results show that
the average time of the estimation and compensation finished in 16 ms/frame
and stabilize 1k1k pixels sequence gray video up to 60 frames/s. 2010 IEEE.
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE)
会议论文
OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper
we combine intensity
orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting
etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity
orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time
we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter
partial occlusions
illumination change
and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels
it only needs 12ms to complete the method. 2007 IEEE.