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浏览/检索结果: 共26条，第1-10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 Context-aided unicity matching for person re-identification 期刊论文  OAI收割 JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2024, 卷号: 99, 页码: 10 作者:  Cao, Min;  Ding, Cong;  Chen, Chen;  Peng, Silong   |  收藏  |  浏览/下载：33/0  |  提交时间：2024/07/03 Person re-identification  Unicity matching  Contextual information  Graph neural network   A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文  OAI收割 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854 作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/11/17 Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure   Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search 期刊论文  OAI收割 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 2021, 卷号: 16, 16, 页码: 5003-5017, 5003-5017 作者:  Luo, Mandi;  Ma, Xin;  Li, Zhihang;  Cao, Jie;  He, Ran   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/12/28 Face recognition  Face recognition  Task analysis  Visualization  Image recognition  Lighting  Feature extraction  Training  Heterogeneous face recognition  near infrared-visible matching  information bottleneck  neural architecture search  Task analysis  Visualization  Image recognition  Lighting  Feature extraction  Training  Heterogeneous face recognition  near infrared-visible matching  information bottleneck  neural architecture search   Noise-resistant matching algorithm integrating regional information for low-light stereo vision 期刊论文  OAI收割 JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 1 作者:  Feng, Huahui;  Zhang, Geng;  Hu, Bingliang;  Zhang, Xin;  Li, Siyuan   |  收藏  |  浏览/下载：42/0  |  提交时间：2019/04/09 stereo matching  low-light  random noise  regional information   Accurate matching method of multimodal image based on phase congruency and local mutual information 会议论文  OAI收割 International Symposium on Optoelectronic Technology and Application 2014, Beijing, China, May 13-15, 2014 作者:  Zhao CY(赵春阳);  Zhao HC(赵怀慈);  Zhao G(赵刚) 收藏  |  浏览/下载：39/0  |  提交时间：2014/12/29 Multimodal Image Matching  Monogenic Phase Congruency  Edge Orientation Histogram  Multi Candidate Point Matching  Normalized Mutual Information   Geometric-based approach for integrating VGI POIs and road networks SCI/SSCI论文  OAI收割 2014 作者:   收藏  |  浏览/下载：42/0  |  提交时间：2014/12/24 VGI data  road network  spatial data integration  linear clustering  matching  geospatial data  openstreetmap  information  similarity  datasets   A shape context based Hausdorff similarity measure in image matching 会议论文  OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ma TL(马天磊);  Liu YP(刘云鹏);  Shi ZL(史泽林);  Yin J(尹健) 收藏  |  浏览/下载：41/0  |  提交时间：2013/12/26 The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.   Research on fast geometric precision correction of HJ-1 remote sensing image 会议论文  OAI收割 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013, Chongqing, China, September 14, 2013 - September 15,2013 Jia, Zhi-Le; Lu, Xiao-Ping; Zang, Wen-Qan; Liu, Qing-Chen 收藏  |  浏览/下载：21/0  |  提交时间：2014/12/07 Mathematical models  Calibration  Geometry  Image matching  Image reconstruction  Industrial electronics  Information technology  Mechanical engineering  Parallel architectures  Satellite imagery   基于视觉和惯性传感器的移动机器人自定位研究 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, 2012 张煌辉 收藏  |  浏览/下载：99/0  |  提交时间：2015/09/02 角点提取与匹配  机器人视觉  信息融合  自定位  移动机器人  corner detection and matching  robot vision  information fusion  self-localization  mobile robot   The shape edge measure of automobile airbag based on image processing (EI CONFERENCE) 会议论文  OAI收割 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012, October 18, 2012 - October 20, 2012, Nanjing, China 作者:  Li Y.;  Wang Z.;  Wang Z.;  Li Y.;  Li Y. 收藏  |  浏览/下载：36/0  |  提交时间：2013/03/25 At present  micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD  and then it is sent to the computer to be processed and segmented. The edge of image is extracted through Canny edge detection algorithm in order to acquire shape edge of airbag in this paper  and the image similarity degree are calculated to provide the information of matching in the template matching process. Finally the comprehensive test shape edge of airbag is realized. The experimental results show that the detection method is effective feasible  intuitive and clear. 2012 IEEE.