Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches-Reference-Cited by-同舟云学术

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Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches

Published:2015-11 Issue: Volume:52 Page:1-17
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Eicholtz Matthew,Kara Levent Burak^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference67 articles.

1. Adams, version 2013.2. MSC Software Corporation, Newport Beach, California, 2010.

2. ForceEffect Motion. Autodesk, Inc., San Rafael, California, 2014.

3. MATLAB, version 8.3.0.532 (R2014a). The MathWorks Inc., Natick, Massachusetts, 2014.

4. Working Model 2D. Design Simulation Technologies, Inc., Canton, Michigan, 2014.

5. Performance of eas for four-bar linkage synthesis;Acharyya;Mech. Mach. Theory,2009

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1. An Overview of Hand-Drawn Diagram Recognition Methods and Applications;IEEE Access;2024

2. Transforming Hand-Drawn Sketches of Linkage Mechanisms Into Their Digital Representation;Journal of Computing and Information Science in Engineering;2023-11-30

3. Image‐based structural analysis for education purposes: A proof‐of‐concept study;Computer Applications in Engineering Education;2023-04-18

4. Automated Hand-drawn sketches retrieval and recognition using regularized Particle Swarm Optimization based deep convolutional neural network;Journal of Ambient Intelligence and Humanized Computing;2020-06-26

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