2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)最新文献_第5页

A new method for fast detection and pose estimation of texture-less industrial parts* 无纹理工业零件快速检测与姿态估计新方法*

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600863

Ziqi Chai, Sheng Bi, Zhengya Guo, Z. Xiong

{"title":"A new method for fast detection and pose estimation of texture-less industrial parts*","authors":"Ziqi Chai, Sheng Bi, Zhengya Guo, Z. Xiong","doi":"10.1109/M2VIP.2018.8600863","DOIUrl":"https://doi.org/10.1109/M2VIP.2018.8600863","url":null,"abstract":"Estimation of the 6-Dof pose of 3d objects has been a hot research field for a long time. When robots and cameras are integrated into a system, the pose of the object can be estimated through the camera, and then the robot can be used to manipulate the object accurately. Traditional object pose estimation methods include the template-matching based method and invariant feature-based method. The method based on invariant features requires the extraction of invariant features from images with rich texture, so it is not suitable for texture-less parts, which are common in industrial applications. The template-matching method is based on edge and contour information, so it is more suitable for part detection and pose estimation of industrial applications. LINEMOD proposed by Hinterstoisser is a successful template matching method, which accelerates the template matching process through a specially designed storage structure. However, the template-based matching method generally adopts sliding window method and is very time-consuming in computation, which makes it impractical for robotic application. In this paper, we propose a new method, which combines Fully Convolutional Network (FCN) with LINEMOD algorithm. With this method, the detection and location of the object in the image can be archived quickly. Then the local image, instead of the whole image, is used for LINEMOD template matching. Experimental results show that, compared with the standard LINEMOD method, the pose estimation speed can be increased and consistent matching results can be obtained.","PeriodicalId":365579,"journal":{"name":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131593157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Development of force sensing techniques for needle surgeries 针手术力感技术的发展

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600861

Z. Mo, Weiliang Xu

引用次数: 0

Testing and Analysis of Migration Displacement of a Flared Stent Deployed in an Esophageal Swallowing Robot. 食管吞咽机器人支架置入后的位移测试与分析。

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600911

Dipankar Bhattacharya, Leo K. Cheng, Weiliang Xu

{"title":"Testing and Analysis of Migration Displacement of a Flared Stent Deployed in an Esophageal Swallowing Robot.","authors":"Dipankar Bhattacharya, Leo K. Cheng, Weiliang Xu","doi":"10.1109/M2VIP.2018.8600911","DOIUrl":"https://doi.org/10.1109/M2VIP.2018.8600911","url":null,"abstract":"Dysphagia is one of the common suffering condition occurs in esophageal cancer (EC) patients. Implanting self-expanding metal stents in the esophagus is one of the most effective ways for the palliation of the malignant dysphagia. The stents are associated with a common problem known as stent migration (SM) in the esophagus which occurs due to the axial force applied by the peristaltic contractions. A softbodied esophageal swallowing robot (ESR) has been developed to mimic the human swallowing process. Peristalsis in the ESR was achieved by modelling the biological peristaltic wave contractions. This paper discuss a new methodology to test and analyse a newly designed flared stent and its migration on the esophageal swallowing robot. Stent migration tests were performed on the esophageal swallowing robot to determine the displacement of the stent from its initial position due to the effect of the travelling of the peristaltic contractile waves. It was observed that migration displacement increases with the number of peristalsis cycle until it reaches a saturation point where no further displacement occurs. It was also noted that by increasing the applied input pressure in the esophageal swallowing robot, the stent migration displacement becomes higher. The work discussed here also promises that a tool like esophageal swallowing robot can provide a passage for a better stent design which can illuminate the path of prevention of stent migration.","PeriodicalId":365579,"journal":{"name":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114942466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unsupervised Video Prediction Network with Spatio-temporal Deep Features 基于时空深度特征的无监督视频预测网络

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600864

Beibei Jin, Rong Zhou, Zhisheng Zhang, Min Dai

引用次数: 0

A Configurable Data Acquisition System for Various Working Conditions 一种可配置的多工况数据采集系统

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600879

Haibing Lin, Zhisheng Zhang, Yiming Guo, Zhi-ming Ding

引用次数: 1

Detection for Joint Attention Based on A Multi-sensor Visual System 基于多传感器视觉系统的联合注意检测

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600897

Wanqi Zhang, Zhiyong Wang, Haibin Cai, Honghai Liu

引用次数: 0

M2VIP 2018 TOC

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/m2vip.2018.8600903

引用次数: 0

Smart AGV System for Manufacturing Shopfloor in the Context of Industry 4.0 工业4.0背景下制造车间的智能AGV系统

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600887

J. Theunissen, Hang Xu, R. Zhong, X. Xu

引用次数: 31

A Soft Ring-shaped Actuator: FE Simulation and Motion Tracking 软环形驱动器:有限元仿真与运动跟踪

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600836

Yu Dang, M. Stommel, Leo K. Cheng, Weiliang Xu

引用次数: 1

Multiple Object Localization in Underwater Wireless Communication Systems using the Theory of Gravitation 基于重力理论的水下无线通信系统多目标定位

2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Pub Date : 2018-11-01 DOI: 10.1109/M2VIP.2018.8600876

R. A. Khalil, N. Saeed, T. Jan, M. Ashraf

引用次数: 3