Self-Animating Images: Illusory Motion Using Repeated Asymmetric Patterns

Ming-Te Chi,1   Tong-Yee Lee1,   Yingge Qu,2      Tien-Tsin Wong2

ACM Transaction on Graphics (Proceedings of SIGGRAPH 2008) (conditionally accepted)

1National Cheng Kung University, Taiwan

2Chinese University of Hong Kong

 

 

 

Abstract

Illusory motion in a still image is a fascinating research topic in the study of human motion perception. Physiologists and psychologists attempted to understand this phenomenon by constructing simple, color repeated asymmetric patterns (RAP) and found several useful rules to enhance the strength of illusory motion. Based on their knowledge, we propose a computational method to generate self-animating images. First, we present an optimized RAP placement on streamlines to generate illusory motion for a given static vector field. Next, a general coloring scheme for RAP is proposed to render streamlines. Furthermore, to enhance the strength of illusion and respect the shape of the region, a smooth vector field with opposite directional flow is automatically generated given an input image. Examples generated by our method are shown to evidence the illusory effect, and the potential applications for entertainment and design purposes.

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Examples

BibTeX

@ARTICLE{Chi:2008,
     author = {Ming-Te Chi and Tong-Yee Lee and Yingge Qu and Tien-Tsin Wong},
     title = {
Self-Animating Images: Illusory Motion Using Repeated Asymmetric Patterns },
     journal = {ACM Transactions on Graphics},
     year = {2008},

     volume = {27},

     number = {3},
}