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Depth-Aware Multi-Person 3D Pose Estimation With Multi-Scale Waterfall Representations 期刊论文  OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1439-1451
作者:  
Shen, Tianyu;  Li, Deqi;  Wang, Fei-Yue;  Huang, Hua
  |  收藏  |  浏览/下载:13/0  |  提交时间:2023/11/17
Research on Application of Location Technology in 3D Virtual Environment Modeling System for Substation Switch Indicator 期刊论文  OAI收割
INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2018, 卷号: 24, 期号: 1, 页码: 115-121
作者:  
Qin LJ(秦丽娟);  Yao C(姚辰);  Wang T(王挺)
  |  收藏  |  浏览/下载:35/0  |  提交时间:2018/09/30
Research on Application of Location Technology in 3D Virtual Environment Modeling System for Substation Switch Indicator 期刊论文  OAI收割
INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2018, 卷号: 24, 期号: 1, 页码: 115-121
作者:  
Qin, Lijuan;  Wang, Ting;  Yao, Chen
  |  收藏  |  浏览/下载:20/0  |  提交时间:2021/02/02
Machining Robot with Vibrational Motion and 3D Printer-like Data Interface 期刊论文  OAI收割
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 1, 页码: 1-12
作者:  
Fusaomi Nagata;  Keigo Watanabe;  Maki K. Habib
  |  收藏  |  浏览/下载:26/0  |  提交时间:2021/02/23
Remote gaze estimation based on 3D face structure and iris centers under natural light 期刊论文  OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 卷号: 75, 期号: 19, 页码: 11785-11799
作者:  
Xiong, Chunshui;  Huang, Lei;  Liu, Changping
  |  收藏  |  浏览/下载:35/0  |  提交时间:2016/12/26
Experimental study on location accuracy of a 3D VHF lightning-radiation-source locating network 期刊论文  iSwitch采集
SCIENCE CHINA-EARTH SCIENCES, 2015, 卷号: 58, 期号: 11, 页码: 2034-2048
作者:  
Zhang GuangShu;  Li YaJun;  Wang YanHui;  Zhang Tong;  Wu Bin
收藏  |  浏览/下载:49/0  |  提交时间:2019/10/09
基于图像分析的视线估计关键技术研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2015
作者:  
熊春水
收藏  |  浏览/下载:250/0  |  提交时间:2015/09/02
光学投影断层成像方法研究与原型系统构建 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, 2013
作者:  
董迪
收藏  |  浏览/下载:76/0  |  提交时间:2015/09/02
Centroid localization algorithm based on bicubic interpolation gray square weighted (EI CONFERENCE) 会议论文  OAI收割
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
作者:  
Zhou J.
收藏  |  浏览/下载:156/0  |  提交时间:2013/03/25
The 3D coordinates of measured point is embodied in 2D image coordinate of the optical characteristic point via the visual measurement system. Based on the gray square weighted centroid localization algorithm  the paper presents bicubic interpolation gray square weighted centroid localization algorithm  increases the number of effective pixels around the optical characteristic point imaging center  and reduces noise error via the gray square weighted  improves the imaging center location accuracy of optical characteristic point  realizes the accurate location of the optical characteristic points. Results indicate application of the proposed algorithm to location  the standard tolerance along the direction of x is 0.0022 Pixel  the standard tolerance along the direction of y is 0.0023 Pixel  compared with the others  the standard tolerance is minimum and discrete to a lesser degree distancing ideal image point  that is  the proposed algorithm has higher location accuracy. The maximum tolerance along the direction of x is 0.008 Pixel  the one along the direction of y is 0.007 Pixel  compared with the other two algorithms  the maximum tolerance is minimum.Results indicate that the stability of the proposed algorithm is better. (2013) Trans Tech Publications  Switzerland.  
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:34/0  |  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.