中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
沈阳自动化研究所 [2]
计算技术研究所 [1]
中国科学院大学 [1]
自动化研究所 [1]
采集方式
OAI收割 [4]
iSwitch采集 [1]
内容类型
期刊论文 [4]
会议论文 [1]
发表日期
2020 [1]
2013 [2]
2008 [2]
学科主题
筛选
浏览/检索结果:
共5条,第1-5条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
作者升序
作者降序
Saliency Prediction Network for 360 degrees Videos
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 1, 页码: 27-37
作者:
Zhang, Youqiang
;
Dai, Feng
;
Ma, Yike
;
Li, Hongliang
;
Zhao, Qiang
  |  
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2020/12/10
Saliency prediction
360 degrees videos
cube map
optical flow
global feature
Gaussian priors
residual attention
AUTOMATIC SEGMENTATION OF URBAN POINT CLOUDS BASED ON THE GAUSSIAN MAP
期刊论文
OAI收割
PHOTOGRAMMETRIC RECORD, 2013, 卷号: 28, 期号: 144, 页码: 342-361
作者:
Wang, Yinghui
;
Hao, Wen
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2015/08/12
Gaussian map
mean shift clustering
point cloud segmentation
urban scene
A line mapping based automatic registration algorithm of infrared and visible images
会议论文
OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ai R(艾锐)
;
Shi ZL(史泽林)
;
Xu DJ(徐德江)
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.
Holomorphic two-spheres in complex grassmann manifold g(2,4)
期刊论文
iSwitch采集
Proceedings of the indian academy of sciences-mathematical sciences, 2008, 卷号: 118, 期号: 3, 页码: 381-388
作者:
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/05/10
Gaussian curvature
Holomorphic map
Totally geodesic
A method for condition monitoring and fault diagnosis in electromechanical system
期刊论文
OAI收割
Neural Computing & Applications, 2008, 卷号: 17, 期号: 4, 页码: 373-384
作者:
Guo QJ(郭前进)
;
Yu HB(于海斌)
;
Hu JT(胡静涛)
;
Xu AD(徐皑冬)
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2012/05/29
Fault diagnosis
Electrical machines
Kernel independent component analysis
Kernel trick
Gaussian chirplet distributions
Self-organizing map