检索结果-南通市图书馆

第九届运筹学及其应用国际研讨会

作者： J.Y.Yang Y.F.Li MEEM of Joint Advanced Research Centre of City University and USTC MEEM of City University Hong Kong

Motion trajectory contains plentiful of motion information which is useful for motion analysis in many tasks. Motion recognition via trajectory is important in motion analysis for many human and robotic tasks. An effective descriptor for motion trajectories plays an important role in the recognition algorithm. In this paper, we propose a new descriptor with a modified data alignment method for motion trajectory recognition. Experimental results demonstrate the effectiveness of our method.

关键词： Invariant Signature Trajectory Descriptor Motion Recognition robot vision

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Aperture Detection and Alignment Control Based on Structured Light vision

Aperture Detection and Alignment Control Based on Structured...

引用

第二十九届中国控制会议

作者： LI Yuan12,WANG Qinglin 1,FAN Zhun 2,CHEN Hui 1,SUN Yong 1 1 School of Automation,Beijing Institute of Technology,Beijing 100081,P.R.China 2 Department of Management Engineering,Technical University of Denmark,2800 Kgs.Lyngby,Denmark

Apertures play a critical role as the marks for workpiece positioning on assembly *** detection and alignment of an aperture on workpiece surface is a typical manipulation task for assembling *** this paper,a vision sensor based on laser structured light is presented to detect an aperture and align it to a robotic end-effector with an eye-in-hand vision *** images with laser stripes are segmented via adaptive threshold and the stripes skeleton are extracted,then the cross stripes are detected by Hough *** feature points of the aperture are extracted according to intensity distribution of pixels on the cross.A set of visual features and a partitioned visual control law are presented for aperture alignment based on structured *** have been conducted to test the effectiveness of the algorithms developed.

关键词： robot vision Structured Light Features Extraction Aperture Detection

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Target Recognition and Tracking Based on Scale Adaptive Kernel Correlation Filter for Dynamic Perspective of robots

Target Recognition and Tracking Based on Scale Adaptive Kern...

引用

第40届中国控制会议

作者： Yusheng Wang Jialong Xie Hongye Zhai Botao Zhang Chaoliang Zhong School of Automation Hangzhou Dianzi University Institute of Intelligent Systems and Control Zhejiang University

An autonomous target recognition and tracking method based on improved Kernel Correlation Filter(KCF) is proposed to deal with camera jitter and changing environments in dynamic perspective for mobile robots. Firstly, the Speeded Up Robust Features detection algorithm is combined with Random Sample Consensus to recognize targets and mark target *** then, KCF is used for rough tracking of the above target areas. Meanwhile, the target re-identification strategy is applied to update the tracking data in real time to solve the problem that the scale of KCF tracking box is too inflexible for accurate ***, tests are carried out not only indoors but also outdoors. The experimental results show that the proposed method can obviously enhance the stability and accuracy of dynamic perspective. Its accuracy is higher than SIFT and KAZE when the camera moves rapidly, and it has better real-time performance and tracking accuracy than KCF and MIL.

关键词： robot vision Dynamic perspective KCF Target recognition Target tracking

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Deep Learning-Based 3D Instance and Semantic Segmentation: A Review

引用

Journal on Artificial Intelligence 2022年第2期4卷 99-114页

作者： Siddiqui Muhammad Yasir Hyunsik Ahn Department of robot System Engineering Tongmyong UniversityBusan48520Korea School of Artificial Intelligence Tongmyong UniversityBusan48520Korea

The process of segmenting point cloud data into several homogeneous areas with points in the same region having the same attributes is known as 3D *** is challenging with point cloud data due to substantial redundancy,fluctuating sample density and lack of apparent *** research area has a wide range of robotics applications,including intelligent vehicles,autonomous mapping and navigation.A number of researchers have introduced various methodologies and *** learning has been successfully used to a spectrum of 2D vision domains as a prevailing ***,due to the specific problems of processing point clouds with deep neural networks,deep learning on point clouds is still in its initial *** study examines many strategies that have been presented to 3D instance and semantic segmentation and gives a complete assessment of current developments in deep learning-based 3D *** these approaches’benefits,draw backs,and design mechanisms are studied and *** study evaluates the impact of various segmentation algorithms on competitiveness on various publicly accessible datasets,as well as the most often used pipelines,their advantages and limits,insightful findings and intriguing future research directions.

关键词： Artificial intelligence computer vision robot vision 3D instance segmentation 3D semantic segmentation 3D data deep learning point cloud mesh voxel RGB-D segmentation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：