Origami Foldaway Support for Beginners using Image Processing

  • Authors

    • L Gayathri
    • Praveen Kumar
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.21.12176
  • Origami, Folding Operation, Canny Edge Detection and Bags Of Features.

  • Abstract

    Various origami works are distributed as origami books in which a succession of collapsing operations with basic outlines is portrayed. In any case, the origami book reader often will give up the instruction of the book middle, because it is too difficult to understand a way to fold in accordance with the diagrams. This paper proposes an approach to find the next step how to do the folding operation, especially for origami beginners. First, a method of detecting the folding operation based on camera images is been detected by canny edge detection. Then, in order to get the next operation camera image is been compare with the database images with the help of Bag of a visual word and Speed up robust features(SURF) detector to detect the key points by finding out the nearest neighboring distance ration (NNDR) measures to find out the similarities.

     

     

  • References

    1. [1] Shimanuki H, Yasuhiro K, Toyohide W, Koichi A & Hideki S, “Operational Support for Origami Beginners by Correcting Mistakesâ€, In Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, (2016).

      [2] Shimanuki H, Jien K & Toyohide W, “A recognition system for folding process of origami drill booksâ€, In International Workshop on Graphics Recognition, Springer, Berlin, Heidelberg, (2003), pp.244-255.

      [3] Kinoshita Y & Toyohide W, “Estimation of folding operation using silhouette of origamiâ€, IAENG Int. J. Computer Science, Vol.37, No.2, (2008), pp.1-8.

      [4] Watanabe T & Yasuhiro K, “Folding support for beginners based on state estimation of origamiâ€, In TENCON 2012-2012 IEEE Region 10 Conference, (2012), pp.1-6.

      [5] Kato J, Toyohide W, Hiroyuki H & Takeshi N, “Understanding illustrations of origami drill booksâ€, Transactions of Information Processing Society of Japan, Vol.41, No.6, (2000).

      [6] Miyazaki S, Takami Y, Shigeki Y & Jun T, “An origami playing simulator in the virtual spaceâ€, Journal of Visualization and Computer Animation, Vol. 7, No. 1, (1996), pp.25-42.

      [7] https://www.cs.auckland.ac.nz/courses/compsci773sl/lectures/ImageProcessing-html/topic4.htm#refsl

      [8] https://en.wikipedia .org/wiki/canny edge detector

      [9] https:// en.wikiepdia.org/wiki/content-based image retrieval.

      [10] Zhu K, Owen Noel Newton F, Adrian David C, Mark F, Theam Wei Y & Hooman Aghaebrahimi S, “A SURF-based natural feaure tracking system for origami recognitionâ€, In Proceedings of 20th International Conference on Artificial Reality and Telexistence, Adelaide, Australia, (2010).

      [11] Canny J, “A computational approach to edge detectionâ€, IEEE Transactions on pattern analysis and machine intelligence, Vol.6, (1986), pp.679-698.

      [12] Tanaka K, Yusuke K & Yasuyoshi Y, “Origami folding by a robotic handâ€, IEEE/RSJ International Conference on Intelligent Robots and Systems, (2007), pp. 2540-2547.

      [13] http://fourier.eng.hmc.edu/e161/lectures/smooth_sharpen/node2.html

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  • How to Cite

    Gayathri, L., & Kumar, P. (2018). Origami Foldaway Support for Beginners using Image Processing. International Journal of Engineering & Technology, 7(2.21), 217-221. https://doi.org/10.14419/ijet.v7i2.21.12176

    Received date: 2018-04-26

    Accepted date: 2018-04-26

    Published date: 2018-04-20