机构

• 长春光学精密机械与物... [2]
• 遥感与数字地球研究所 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [4]

发表日期

• 2016 [1]
• 2012 [1]
• 2011 [1]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 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 Measurement algorithm of mounting holes based on binocular stereo vision 会议论文  OAI收割 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016, Chengdu, China, June 19-22, 2016 作者:  Hu YQ(胡彦强);  Ma Y(马钺);  Xu M(许敏);  Chen X(陈曦) 收藏  |  浏览/下载：37/0  |  提交时间：2016/11/06 epipolar-line constraint algorithm  feature points matching  Line laser  mounting holes   Image matching combine SIFT with regional SSDA (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Control Engineering and Communication Technology, ICCECT 2012, December 7, 2012 - December 9, 2012, Shenyang, Liaoning, China 作者:  Liu J.;  Liu J.;  Liu J.;  Zhao J. 收藏  |  浏览/下载：44/0  |  提交时间：2013/03/25 Image matching is at the base of many computer vision problems  such as object recognition or image stitching. Standard SIFT provides poor performance when images under viewpoint change conditions and with similar corners. Hence  we propose a matching algorithm combine regional SSDA with simplified SIFT algorithm. We demonstrate through experiments that our algorithm yields better performance in images of viewpoint change and similar feature points. Besides  the simplified algorithm cut down about half the time was originally needed in our tested images. 2012 IEEE.   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.   A Fast Geometric Rectification of Remote Sensing Imagery Based on Feature Ground Control Point Database 会议论文  OAI收割 Proceedings of the 4th Wseas International Conference on Remote Sensing, Athens Yang, Jian; Zhao, Zhongming 收藏  |  浏览/下载：27/0  |  提交时间：2014/12/07 Ground Control Point (GCP) Database  feature matching  local invariance  feature ground control points