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CAS IR Grid
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长春光学精密机械与物... [4]
国家天文台 [2]
沈阳自动化研究所 [2]
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OAI收割 [12]
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期刊论文 [7]
会议论文 [5]
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artificial... [1]
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Geometric moment invariants to spatial transform and N-fold symmetric blur
期刊论文
OAI收割
PATTERN RECOGNITION, 2021, 卷号: 115, 页码: 14
作者:
Mo, Hanlin
;
Hao, Hongxiang
;
Li, Hua
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/12/01
Blurred image
Blur invariants
Moment invariants
Spatial transform
N-fold symmetry
Object recognition
Template matching
Densely connected Siamese network visual tracking
期刊论文
OAI收割
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2021
作者:
Zhou, Xiaolong
;
Wang, Pinghao
;
Chan, Sixian
;
Fang, Kai
;
Fang, Jianwen
  |  
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2021/08/31
Robot vision
Artificial intelligence
Image processing
Object tracking
Siamese network
Dynamic template
Robust Object Tracking via Information Theoretic Measures
期刊论文
OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:
Wei-Ning Wang
;
Qi Li
;
Liang Wang
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/02/22
Object tracking
information theoretic measures
correntropy
template update
robust to complex noises.
Study on the Classification of LAMOST Early Stellar Spectrum Template by Mahalanobis Distance
期刊论文
OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 卷号: 39, 期号: 5, 页码: 1618-1622
作者:
Chen Shu-xin
;
Sun Wei-min
;
Song Yi-han
  |  
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2020/03/10
Mahalanobis distance
Early-type stellar
Spectrum template
LAMOST (large sky area multi-object fiber spectroscopy telescope)
ELODIE
Siamese Tracking with Adaptive Template-Updating Strategy
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 18, 页码: 1-17
作者:
Chang Z(常铮)
;
Xu Z(徐峥)
;
Hui B(惠斌)
;
Ju MR(鞠默然)
;
Luo HB(罗海波)
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/11/13
object tracking
Siamese network
template-updating
deep learning
Similarity Measurement Among Classification Templates for LAMOST Stellar Spectra
期刊论文
OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 卷号: 38, 期号: 6, 页码: 1922-1925
作者:
Chen Shu-xin
;
Sun Wei-min
;
Kong Xiao
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/03/10
Similarity measurement
Euclidean distance
Mahalanobis distance
Stellar spectrum template
LAMOST (large sky area multi-object fiber spectroscopy telescope)
Dual Efficient Second-order Minimization Method for Template-based Visual Tracking
会议论文
OAI收割
International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control, Beijing, May 9-11, 2016
作者:
Li CX(李晨曦)
;
Shi ZL(史泽林)
;
Liu YP(刘云鹏)
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2016/09/13
Visual tracking
object template
light changes
Lie group
second-order approximation
Similarity learning for object recognition based on derived kernel
期刊论文
OAI收割
neurocomputing, 2012, 卷号: 83, 页码: 110-120
作者:
Li, Hong
;
Wei, Yantao
;
Li, Luoqing
;
Yuan, Yuan
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2012/09/03
Derived kernel
Hierarchical learning
Image similarity
Neural response
Object recognition
Template selection
Partial occlusion detection of object boundary (EI CONFERENCE)
会议论文
OAI收割
2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009, May 5, 2009 - May 7, 2009, Singapore, Singapore
作者:
Zhang J.
;
Zhang K.
;
Zhang K.
;
Zhang K.
;
Zhang K.
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2013/03/25
Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous
especially when distinguishing it only from the object boundary. In this paper
we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference) object boundary by moving it to a target object which is deformed and/or occluded. From the morphing processing
sufficient information can be obtained and an accurate detection of occlusion is performed. By using of the proposed method
the application scope of occlusion detection is expanded while other method cannot be performed which need color
texture
or motion information. The experiments performed on synthetic and real world images proved the satisfactory performance of the proposed method. 2009 IEEE.
Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE)
会议论文
OAI收割
2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:145/0
  |  
提交时间:2013/03/25
A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates
in addition
firstly
on the basis of correct recognition
we segment the object regions in them and compute their covariant matrices. Secondly
it can estimate affine parameters exactly
normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants
and the estimated error is within 3%. 2008 IEEE.
and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance
if more than one value is larger than threshold
take the corresponding templates as candidates
and compute affine matrix between real-time image and every candidate. Finally
transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination
with low computational complexity
and it can realize recognition of different affine objects