An edge feature-based approach for workpiece localization and determination of feasible clamping regions

2017 ◽  
Author(s):  
Zhiying Tan ◽  
Lin Xin ◽  
Jian Xu ◽  
Bo Zhou ◽  
Hanbin Zhao
Keyword(s):  
Feature Based ◽  
Workpiece Localization ◽  
Edge Feature

A feature-based approach for optimal workpiece localization and determination of feasible clamping regions

2005 ◽  
Vol 30 (1-2) ◽  
pp. 76-86 ◽  
Author(s):  
Shaopeng Tian ◽  
Zhengdong Huang ◽  
Liping Chen ◽  
Qifu Wang
Keyword(s):  
Feature Based ◽  
Workpiece Localization

scholarly journals EMCM: A Novel Binary Edge-Feature-Based Maximum Clique Framework for Multispectral Image Matching

2019 ◽  
Vol 11 (24) ◽  
pp. 3026
Author(s):  
Bin Fang ◽  
Kun Yu ◽  
Jie Ma ◽  
Pei An
Keyword(s):  
Image Matching ◽  
Nearest Neighbor ◽  
Feature Matching ◽  
Maximum Clique ◽  
Feature Space ◽  
Multispectral Image ◽  
Feature Descriptor ◽  
Ranking Algorithm ◽  
Feature Based ◽  
Edge Feature

Seeking reliable correspondence between multispectral images is a fundamental and important task in computer vision. To overcome the nonlinearity problem occurring in multispectral image matching, a novel, edge-feature-based maximum clique-matching frame (EMCM) is proposed, which contains three main parts: (1) a novel strong edge binary feature descriptor, (2) a new correspondence-ranking algorithm based on keypoint distinctiveness analysis algorithms in the feature space of the graph, and (3) a false match removal algorithm based on maximum clique searching in the correspondence space of the graph considering both position and angle consistency. Extensive experiments are conducted on two standard multispectral image datasets with respect to the three parts. The feature-matching experiments suggest that the proposed feature descriptor is of high descriptiveness, robustness, and efficiency. The correspondence-ranking experiments validate the superiority of our correspondences-ranking algorithm over the nearest neighbor algorithm, and the coarse registration experiments show the robustness of EMCM with varied interferences.

scholarly journals Simultaneous Determination of Modulation Types and Signal-to-Noise Ratios Using Feature-Based Approach

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 9262-9271 ◽  
Author(s):  
Tarik Adnan Almohamad ◽  
Mohd Fadzli Mohd Salleh ◽  
Mohd Nazri Mahmud ◽  
Adnan Haider Yusef Sa'D
Keyword(s):  
Simultaneous Determination ◽  
Signal To Noise ◽  
Feature Based

Space-domain feature-based automated quantitative determination of localized faults in wire ropes

1991 ◽  
Vol 24 (6) ◽  
pp. 324
Author(s):  
J.S. Li ◽  
S.Z. Yang ◽  
W.X. Lu ◽  
Y.S. Wang
Keyword(s):  
Quantitative Determination ◽  
Space Domain ◽  
Wire Ropes ◽  
Feature Based ◽  
Localized Faults

Multi-Scale Edge Extraction Based Stereo Matching Algorithm

2010 ◽  
Vol 44-47 ◽  
pp. 4162-4166
Author(s):  
Jing Lian ◽  
Lin Hui Li ◽  
Xiao Yong Shen ◽  
Xian Peng Hao
Keyword(s):  
Stereo Matching ◽  
Robot Vision ◽  
Outdoor Environment ◽  
Linear Filter ◽  
Edge Extraction ◽  
Matching Algorithm ◽  
Multi Scale ◽  
Feature Based ◽  
3D Information ◽  
Edge Feature

In the field of robot vision, edge feature based stereo matching algorithm can reconstruct the targets with clear contours, which needs accurate and continuous target edges been extracted. In the paper, the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly.

Research and Implementation on Automatical Adjustment Method of Design Feature Model

2012 ◽  
Vol 197 ◽  
pp. 750-754
Author(s):  
Yao Chen ◽  
Guo Yuan Zhang ◽  
Jun Chao Wei ◽  
Xiu Tian Yan ◽  
Miao He
Keyword(s):  
Feature Recognition ◽  
Design Feature ◽  
Feature Modeling ◽  
Feature Model ◽  
Concurrent Design ◽  
Machining Feature ◽  
Feature Based ◽  
Feature Based Design ◽  
Product Realization

Traditional engineering design and realization typically follows a sequential pattern as described by many research publications such as French, Pahl and Beitz. These design methodologies face challenges when time is essence in product realization lifecycle. In contrast, as the design process of a product evolves，this new method incrementally creates machining feature model and realizes concurrent design feature and machining feature modeling based on an algorithm developed for local feature recognition. In addition, the method accelerated the determination of the area that require to be recognized by utilizing a dynamic link list to record the changing information of topological elements, the design features of the model generated by the feature-based design, processing and feature recognition is generated through feature model.

scholarly journals Independence of space-based and feature-based attention in the determination of figure direction

2008 ◽  
Vol 9 (S1) ◽  
Author(s):  
Nobuhiko Wagatsuma ◽  
Ryohei Shimizu ◽  
Ko Sakai
Keyword(s):  
Feature Based
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