中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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A LiDAR SLAM with PCA-based Feature Extraction and Two-stage Matching 期刊论文  OAI收割
IEEE Transactions on Instrumentation and Measurement, 2022, 期号: 71, 页码: 1-11
作者:  
Shiyi Guo;  Zheng Rong;  Shuo Wang;  Yihong Wu
  |  收藏  |  浏览/下载:47/0  |  提交时间:2022/04/06
Optimization of SIFT algorithm for fast-image feature extraction in line-scanning ophthalmoscope 期刊论文  OAI收割
OPTIK, 2018, 卷号: 152, 页码: 21-28
作者:  
He, Yi;  Deng, Guohua;  Wang, Yuanyuan;  Wei, Ling;  Yang, Jinsheng
  |  收藏  |  浏览/下载:39/0  |  提交时间:2019/08/23
基于GPU的大场景三维重建和物体建模 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, 2012
作者:  
刘鑫
收藏  |  浏览/下载:120/0  |  提交时间:2015/09/02
Multi-scale edge extraction based stereo matching algorithm (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010, December 11, 2010 - December 12, 2010, Chongqing, China
作者:  
Li L.
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/25
In the field of robot vision  edge feature based stereo matching algorithm can reconstruct the targets with clear contours  which needs accurate and continuous target edges been extracted. In the paper  the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly. (2011) Trans Tech Publications.  
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:21/0  |  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.  
图像特征提取与匹配 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2008
谭博怡
收藏  |  浏览/下载:105/0  |  提交时间:2015/09/02