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• 长春光学精密机械与... [12]
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• OAI收割 [25]

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• 天文学 [1]
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浏览/检索结果: 共25条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Detection and Segmentation for Chromosphere Bright Points by CLPNet 期刊论文  OAI收割 SOLAR PHYSICS, 2026, 卷号: 301, 期号: 3 作者:  Zhang, Xichen;  Yang, Yunfei;  Zhang, Xiaoli;  Feng, Song;  Dai, Wei   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/04/02 Chromosphere bright points  CLPNet  Object segmentation  Feature statistics   Location Sensitive Network for Human Instance Segmentation 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7649-7662 作者:  Zhang, Xiangzhou;  Ma, Bingpeng;  Chang, Hong;  Shan, Shiguang;  Chen, Xilin   |  收藏  |  浏览/下载：52/0  |  提交时间：2021/12/01 Image segmentation  Prototypes  Heating systems  Task analysis  Semantics  Feature extraction  Detectors  Human instance segmentation  spatial invariance  coordinates encoding  points representation   KCCA-based radiation normalization method for hyperspectral remote sensing Images 会议论文  OAI收割 Beijing, China, 2019-07-07 作者:  Li, Haiwei;  Song, Liyao;  Yan, Qiangqiang;  Chen, Tieqiao   |  收藏  |  浏览/下载：80/0  |  提交时间：2020/03/04 Kernel Canonical Correlation Analysis (KCCA)  Radiation normalization  Pseudo-invariant feature points (PIF)  Multivariate change detection   Hybrid patch based diagonal pattern geometric appearance model for facial expression recognition 会议论文  OAI收割 Beijing, 2016-10-19 作者:  Jain Deepak Kumar;  Zhang Zhang;  Huang Kaiqi   |  收藏  |  浏览/下载：44/0  |  提交时间：2018/06/19 Facial Expressions  Feature Points   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：52/0  |  提交时间：2016/11/06 epipolar-line constraint algorithm  feature points matching  Line laser  mounting holes   A simple pose estimation method based on co-planar feature points 会议论文  OAI收割 control, automation and robotics (iccar), 2015 international conference on, singapore, 2015-05 作者:  Weigao Xu;  Zuofeng Zhou;  Jianzhong Cao;  Bing Zhao 收藏  |  浏览/下载：32/0  |  提交时间：2016/01/08 P4P  closed-form solution  co-planar feature points  pose estimation   Data normalization of single camera visual measurement network system (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012, November 10, 2012 - November 11, 2012, Guangzhou, China 作者:  Zhang Y.-C.;  Zhou J. 收藏  |  浏览/下载：44/0  |  提交时间：2013/03/25 With the development of visual measurement system  Normalize the measured coordinates into the same world coordinate system  Apply in the three coordinate measuring machine(CMM) to have the simulation experiment  So the data normalization has the advantage of more high precision. (2013) Trans Tech Publications  the visual measurement system of single camera which applied in the imaging theory of optical feature points  then get the global data  the result indicates that the maximum absolute tolerance between the normalization coordinates via the center of point set and the ones measured by CMM directly is 0.058mm  Switzerland.  it has been widespread used in the modern production. Due to the limit of the environment in scene  and achieve the overall measurement  the visual measurement system of single camera could not measure the shield between the measured objects each other. Focus on this problem  But the one between the coordinate repeatedly measured at the position of one network control point is 0.066mm  present a kind of the the knowledge of measurement network based on the visual measurement of single camera  set up the measurement network system via the multi-control points. Measure the optical feature points in every network control point via the visual measurement system of single camera   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：60/0  |  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.   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：53/0  |  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.   Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China 作者:  Wang X.;  Wang X.;  Wang X. 收藏  |  浏览/下载：51/0  |  提交时间：2013/03/25 Using of SIFT algorithm in the image of teeth model  can detect the features of the teeth image effectively. In this approach  first  search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second  select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third  assign one or more orientations to each keypoint location based on local image gradient directions. Last  measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods  this method can detect the features of the teeth model effectively  and offer some available parameters for 3D reconstruction of the teeth model. the authors.