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Optical illusion shape texturing using repeated asymmetric patterns Public Deposited

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Abstract
  • Illusory motions refer to the phenomena in which static images composed of certain colors and patterns lead to the illusion of motions. This paper presents an approach for generating illusory motions on 3D surfaces which can be used for shape illustration as well as artistic visualization of line fields on surfaces. Our method extends previous work on generating illusory motions in the plane, which we adapt to 3D surfaces. In addition, we propose novel volume texture of repeated asymmetric patterns (RAPs) to visualize bidirectional flows, thus enabling the visualization of line fields in the plane and on the surface. We demonstrate the effectiveness of our method with applications in shape illustration as well as line field visualization on surfaces. For the design of optical illusion art, it is a tough case to arrange the distribution of RAP. However, we provide a semi-automatic algorithm to help users design flow direction. Finally, this technique applies to the design of street art and user could easily set the perspective effect and flow motion for illustration.
  • This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Springer and can be found at: http://link.springer.com/journal/371. The publisher, Springer-Verlag, has issued an Erratum [correction] to this article as it appears in their publication due to a publishing error on their part. "In the original article Fig. 5 was published twice, once as Fig. 5 and once again as Fig. 3 by mistake." The figures are correct in the author's final Accepted Manuscript as archived here.
  • Keywords: Repeated asymmetric patterns (RAP), Illusory motion, Line field, Optical illusion art
  • Keywords: Repeated asymmetric patterns (RAP), Illusory motion, Line field, Optical illusion art
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  • Chi, M. T., Yao, C. Y., Zhang, E., & Lee, T. Y. (2014). Optical illusion shape texturing using repeated asymmetric patterns. The Visual Computer, 30(6-8), 809-819. doi:10.1007/s00371-014-0989-3
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  • 30
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  • 6-8
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  • This work is supported by the National Science Council, Taiwan under NSC-102-2221-E-004 -008, NSC-102-2221-E-011-130, NSC-100-2221-E-006-188-MY3 and NSC-100-2628-E-006-031-MY3.
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