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浏览/检索结果: 共13条,第1-10条 帮助

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Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 5072-5084
作者:  
Guo, Jianwei;  Xing, Xuejun;  Quan, Weize;  Yan, Dong-Ming;  Gu, Qingyi
  |  收藏  |  浏览/下载:47/0  |  提交时间:2021/08/15
Ecological Research on the Cracks Evolution Mechanism of Coal -Rock Mass in Deep Coal Mine 期刊论文  OAI收割
EKOLOJI, 2019, 卷号: 28, 期号: 107, 页码: 4537-4543
作者:  
Liu, Bin;  Li, Jinlan;  Kang, Yongshui
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/04/08
Road Extraction from VHR Remote-Sensing Imagery via Object Segmentation Constrained by Gabor Features 期刊论文  OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 卷号: 7, 期号: 9, 页码: 21
作者:  
Chen, Li;  Zhu, Qing;  Xie, Xiao;  Hu, Han;  Zeng, Haowei
  |  收藏  |  浏览/下载:34/0  |  提交时间:2019/06/04
Shape Matching under Affine Transformation Using Normalization and Multi-scale Area Integral Features 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:  
Cai HY(蔡慧英);  Zhu F(朱枫);  Hao YM(郝颖明);  Lu RR(鲁荣荣)
收藏  |  浏览/下载:28/0  |  提交时间:2016/09/13
Angular Pattern and Binary Angular Pattern for Shape Retrieval 期刊论文  OAI收割
ieee transactions on image processing, 2014, 卷号: 23, 期号: 3, 页码: 1118-1127
作者:  
Rong-Xiang Hu;  Wei Jia;  Haibin Ling;  Yang Zhao;  Jie Gui
收藏  |  浏览/下载:19/0  |  提交时间:2015/12/30
3D model retrieval based on color plus geometry signatures 期刊论文  OAI收割
VISUAL COMPUTER, 2012, 卷号: 28, 期号: 1, 页码: 75-86
作者:  
Liu, Yong-Jin;  Zheng, Yi-Fu;  Lv, Lu;  Xuan, Yu-Ming;  Fu, Xiao-Lan
收藏  |  浏览/下载:20/0  |  提交时间:2015/05/21
Automatic bridge extraction for optical images (EI CONFERENCE) 会议论文  OAI收割
6th International Conference on Image and Graphics, ICIG 2011, August 12, 2011 - August 15, 2011, Hefei, Anhui, China
Gu D.-Y.; Zhu C.-F.; Shen H.; Hu J.-Z.; Chang H.-X.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
This paper describes a novel hierarchy algorithm for extracting bridges over water in optical images. To reduce the omission of bridges by searching the edge  we extract the river regions which the bridges are included in. Firstly  we segment the optical image to get the coarse water bodies using iterative threshold  eliminate the noise regions and add the missing regions based on k-means clustering with texture information and spatial coherence. Then  the blanks are connected based on shape features and candidate bridge regions are segmented from river regions. Finally  the bridges are verified by geometric information and the ubiety between bridges and river. The results show that this approach is efficient and effective for extracting bridges in satellite image from Google Earth and in aerial optical images acquired by unmanned aerial vehicle. 2011 IEEE.  
视觉监控中的目标跟踪研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:  
李敏
收藏  |  浏览/下载:87/0  |  提交时间:2015/09/02
Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文  OAI收割
International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China
Ke H.; You W.
收藏  |  浏览/下载:37/0  |  提交时间:2013/03/25
The development of intelligent system which accorded with human cognitive mechanism will exert a profound influence on national defense  economy  education  culture and etc. A computer simulation method according with cognitive mechanism of human vision was proposed on the basis of Structural Decomposition Theory. Many basic shape feature information tables of similar object from different side can determine a kind of object uniquely. System weighted basic shape features in two different information tables by membership degree and then calculated similarity. The identifying object which had the maximum similarity with it in system was what we needed. The system used 83 pictures of 6 kinds of objects with different side for training and testing. The experiment results demonstrated  task of basic shape extraction  object recognition and others can be completed effectively with the method in paper. The method in paper can be a new attempt on computer simulation method according with cognitive mechanism of human vision from cognitive field. 2010 Crown Copyright.  
SAR AND OPTICAL IMAGES REGISTRATION USING SHAPE CONTEXT 会议论文  OAI收割
2010 Ieee International Geoscience and Remote Sensing Symposium, New York
Huang, Lei; Li, Zhen; Zhang, Rui
收藏  |  浏览/下载:20/0  |  提交时间:2014/12/07