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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [5]
长春光学精密机械与物... [4]
西安光学精密机械研究... [2]
地理科学与资源研究所 [1]
光电技术研究所 [1]
沈阳自动化研究所 [1]
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采集方式
OAI收割 [14]
内容类型
会议论文 [6]
期刊论文 [5]
学位论文 [3]
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2023 [1]
2021 [1]
2020 [1]
2017 [1]
2014 [1]
2013 [1]
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学科主题
物理科学和化学 [1]
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SkyroadAR: An Augmented Reality System for UAVs Low-Altitude Public Air Route Visualization
期刊论文
OAI收割
DRONES, 2023, 卷号: 7, 期号: 9, 页码: 22
作者:
Tan, Junming
;
Ye, Huping
;
Xu, Chenchen
;
He, Hongbo
;
Liao, Xiaohan
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2023/10/30
augmented reality
the UAVs' low-altitude public air route
sandbox
markerless registration and tracking
GPU-based virtual-real occlusion handling
SkyroadAR
A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds
期刊论文
OAI收割
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 288-299
作者:
Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/04/22
Augmented reality
markerless
tracking registration
LineMod
iterative closest point (ICP) algorithm
Tracking Registration Algorithm for Augmented Reality Based on Template Tracking
期刊论文
OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 257-266
作者:
Peng-Xia Cao
;
Wen-Xin Li
;
Wei-Ping Ma
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/02/22
Tracking registration
augmented reality
markerless
random ferns
Lucas-Kanade (LK) optical flow.
Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes
期刊论文
OAI收割
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2017, 卷号: 42, 期号: 8, 页码: 3451-3463
作者:
Wen, Zhuoman
;
Kuijper, Arjan
;
Fraissinet-Tachet, Matthieu
;
Wang, Yanjie
;
Luo, Jun
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2018/11/20
Computer vision
Multi-camera tracking
Image registration
Mutual information
Nonlinear optimization
基于备案的数字版权追踪关键技术研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:
关虎
收藏
  |  
浏览/下载:143/0
  |  
提交时间:2015/09/02
数字版权追踪
数字版权标识
数字特征备案
数字水印
数字媒体指纹
Digital Copyright Tracking
Digital Copyright Identifier
Digital Feature Registration
Digital Watermarking
Digital Media Fingerprinting
航拍视频运动目标检测关键技术研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013
作者:
申浩
收藏
  |  
浏览/下载:115/0
  |  
提交时间:2015/09/02
无人飞行器
运动目标检测
图像配准
显著性
基于跟踪的检测
目标检测
航拍视频
unmanned aerial vehicle
moving object detection
image registration
saliency
detection-by-tracking
object detection
aerial video
Vehicle detection and tracking in airborne videos by multi-motion layer analysis
期刊论文
OAI收割
machine vision and applications, 2012, 卷号: 23, 期号: 5, 页码: 921-935
作者:
Cao, Xianbin
;
Lan, Jinhe
;
Yan, Pingkun
;
Li, Xuelong
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2011/09/30
Vehicle detection
Frame registration
Feature tracking
Partial occlusion
Motion layer
Study on time registration method for photoelectric theodolite data fusion (EI CONFERENCE)
会议论文
OAI收割
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Yang H.-T.
;
Gao H.-B.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2013/03/25
In range measurement
theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system
the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm
which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method. 2012 IEEE.
Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE)
会议论文
OAI收割
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
作者:
Liu Y.
;
Liu Y.
;
Liu Y.
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2013/03/25
Image registration is a key technique in pattern recognition and image processing
and it is widely used in many application areas such as computer vision
remote sensing
image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly
feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then
pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then
the well match points are used to estimate the best affine transform parameters by least squares minimization. At last
the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.
A matching algorithm on statistical properties of Harris corner (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China
作者:
He B.
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2013/03/25
The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation
gray
noise and viewpoint change conditions
has an ideal match results
is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly
experiments show that the two features exclusive
then applied them to image registration for the first time. A set of actual images have shown
this proposed method not only overcomes the complicated background
gray uneven distribution problems
but also pan and zoom the image has a good resistance. 2011 IEEE.