research-article

An Automated Grading/Feedback System for 3-View Engineering Drawings using RANSAC

Authors:

Youngwook Paul Kwon,

Sara McMainsAuthors Info & Claims

L@S '15: Proceedings of the Second (2015) ACM Conference on Learning @ Scale

Pages 157 - 166

https://doi.org/10.1145/2724660.2724682

Published: 14 March 2015 Publication History

Abstract

We propose a novel automated grading system that can compare two multiview engineering drawings consisting of three views that may have allowable translations, scales, and offsets, and can recognize frequent error types as well as individual drawing errors. We show that translation, scale, and offset-invariant comparison can be conducted by estimating the affine transformation for each individual view within drawings. Our system directly aims to evaluate students' skills creating multiview engineering drawings. Since it is important for our students to be familiar with widely used software such as AutoCAD, our system does not require a separate interface or environment, but directly grades the saved DWG/DXF files from AutoCAD. We show the efficacy of the proposed algorithm by comparing its results with human grading. Beyond the advantages of convenience and accuracy, based on our data set of students' answers, we can analyze the common errors of the class as a whole using our system.

References

[1]

Bertoline, G., Wiebe, E., Hartman, N., and Ross, W. Technical Graphics Communication. McGraw-Hill Science/Engineering/Math, 2002.

[2]

Brown, M., and Lowe, D. G. Unsupervised 3D object recognition and reconstruction in unordered datasets. In Fifth International Conference on 3-D Digital Imaging and Modeling (2005), 56--63.

Digital Library

[3]

Choi, S., Kim, T., and Yu, W. Performance evaluation of RANSAC family. Journal of Computer Vision (1997).

[4]

Coiras, E., Santamar, J., and Miravet, C. Segment-based registration technique for visual-infrared images. Optical Engineering 39, 1 (2000), 282--289.

[5]

Fischler, M. A., and Bolles, R. C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24, 6 (June 1981), 381--395.

Digital Library

[6]

Geng, W., Wang, J., and Zhang, Y. Embedding visual cognition in 3D reconstruction from multi-view engineering drawings. Computer-Aided Design (2002).

[7]

gradescope.com. https://gradescope.com, Last accessed on Jan 16, 2015.

[8]

Hartley, R., and Zisserman, A. Multiple View Geometry in Computer Vision, 2003.

Digital Library

[9]

Kwon, Y. P. Line segment-based aerial image registration. Master's thesis, EECS Department, University of California, Berkeley, May 2014.

[10]

Lee, H., and Han, S. Reconstruction of 3D interacting solids of revolution from 2D orthographic views. Computer-Aided Design 37, 13 (Nov. 2005), 1388--1398.

Digital Library

[11]

Lieu, D., and Sorby, S. Visualization, Modeling, and Graphics for Engineering Design, 3rd ed. Delmar Learning, 2009. Chapter 10.

[12]

Nistér, D. Preemptive RANSAC for live structure and motion estimation. Machine Vision and Applications (2005).

Digital Library

[13]

Raguram, R., Frahm, J.-M., and Pollefeys, M. A comparative analysis of RANSAC techniques leading to adaptive real-time random sample consensus. In ECCV 2008. 2008, 500--513.

Digital Library

[14]

Schnabel, R., Wahl, R., and Klein, R. Efficient RANSAC for point-cloud shape detection. Computer Graphics Forum (2007).

[15]

Shin, B. S., and Shin, Y. G. Fast 3D solid model reconstruction from orthographic views. Computer-Aided Design 30, 1 (Jan. 1998), 63--76.

[16]

Suh, Y. S., and McCasland, J. Interactive Construction of Solids from Orthographic Multiviews for an Educational Software Tool. Computer-Aided Design and Applications 6, 2 (Jan. 2009), 219--229.

[17]

Torr, P. H. S., and Zisserman, A. MLESAC: A new robust estimator with application to estimating image geometry. Computer Vision and Image Understanding 78, 1 (Apr. 2000), 138--156.

Digital Library

[18]

Wang, W., and Grinstein, G. G. A survey of 3D solid reconstruction from 2D projection line drawings. Computer Graphics Forum 12, 2 (May 1993), 137--158.

[19]

Wang, Z., and Latif, M. Reconstruction of a 3D solid model from orthographic projections. In 2003 International Conference on Geometric Modeling and Graphics, 2003. Proceedings (2003), 75--82.

[20]

AutoCAD Drawing Compare Plug-in. https://apps.exchange.autodesk.com/VLTC/en/Detail/Index?id=appstore.exchange.autodesk.com%3Adrawingcompare%3Aen, Last accessed on Oct 20, 2014.

[21]

MATLAB CENTRAL, File Exchange. http://www.mathworks.com/matlabcentral/fileexchange, Last accessed on Oct 20, 2014.

[22]

Read DXF File Data. http://www.mathworks.com/matlabcentral/fileexchange/24572-read-dxf-file-data, Last accessed on Oct 20, 2014.

Cited By

Jianwu LYew LOn LKeong TYuan Sheng RSani SJuan Agnes T(2023)Artificial intelligence-enabled evaluating for computer-aided drawings (AMCAD)International Journal of Mechanical Engineering Education10.1177/0306419023117523152:1(3-31)Online publication date: 24-Jul-2023
https://doi.org/10.1177/03064190231175231
Younes RBairaktarova D(2020)ViTA: A flexible CAD-tool-independent automatic grading platform for two-dimensional CAD drawingsInternational Journal of Mechanical Engineering Education10.1177/030641902094768850:1(135-157)Online publication date: 10-Aug-2020
https://doi.org/10.1177/0306419020947688
Marques BCardoso MReis RMarques R(2020)Evaluate manuscripts or digital assignments fairly and easilyEighth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3434780.3436680(121-125)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1145/3434780.3436680
Show More Cited By

Index Terms

An Automated Grading/Feedback System for 3-View Engineering Drawings using RANSAC
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Published In

cover image ACM Conferences

L@S '15: Proceedings of the Second (2015) ACM Conference on Learning @ Scale

March 2015

438 pages

ISBN:9781450334112

DOI:10.1145/2724660

General Chair:
Gregor Kiczales
University of British Columbia
,
Program Chairs:
Daniel M. Russell
Google
,
Beverly Woolf
University of Massachusets, Amherst

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2015

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UC Berkeley's vice provost

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L@S 2015

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ACM Ed Board

L@S 2015: Second (2015) ACM Conference on Learning @ Scale

March 14 - 18, 2015

BC, Vancouver, Canada

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L@S '15 Paper Acceptance Rate 23 of 90 submissions, 26%;

Overall Acceptance Rate 117 of 440 submissions, 27%

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Cited By

Jianwu LYew LOn LKeong TYuan Sheng RSani SJuan Agnes T(2023)Artificial intelligence-enabled evaluating for computer-aided drawings (AMCAD)International Journal of Mechanical Engineering Education10.1177/0306419023117523152:1(3-31)Online publication date: 24-Jul-2023
https://doi.org/10.1177/03064190231175231
Younes RBairaktarova D(2020)ViTA: A flexible CAD-tool-independent automatic grading platform for two-dimensional CAD drawingsInternational Journal of Mechanical Engineering Education10.1177/030641902094768850:1(135-157)Online publication date: 10-Aug-2020
https://doi.org/10.1177/0306419020947688
Marques BCardoso MReis RMarques R(2020)Evaluate manuscripts or digital assignments fairly and easilyEighth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3434780.3436680(121-125)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1145/3434780.3436680
Bigman MMitchell J(2020)Teaching Online in 2020: Experiments, Empathy, Discovery2020 IEEE Learning With MOOCS (LWMOOCS)10.1109/LWMOOCS50143.2020.9234318(156-161)Online publication date: 29-Sep-2020
https://doi.org/10.1109/LWMOOCS50143.2020.9234318
Bryan J(2019)Automatic grading software for 2D CAD filesComputer Applications in Engineering Education10.1002/cae.2217428:1(51-61)Online publication date: 17-Oct-2019
https://doi.org/10.1002/cae.22174
Kross SGuo PLuckin RKlemmer SKoedinger K(2018)Students, systems, and interactionsProceedings of the Fifth Annual ACM Conference on Learning at Scale10.1145/3231644.3231662(1-10)Online publication date: 26-Jun-2018
https://dl.acm.org/doi/10.1145/3231644.3231662
Singh AKarayev SGutowski KAbbeel PUrrea CReich JThille C(2017)GradescopeProceedings of the Fourth (2017) ACM Conference on Learning @ Scale10.1145/3051457.3051466(81-88)Online publication date: 12-Apr-2017
https://dl.acm.org/doi/10.1145/3051457.3051466

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