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Perceptually meaningful image editing

Manipulating perceived depth and creating the illusion of motion in 2D images

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Abstract

We introduce a novel concept called perceptually meaningful image editing and present techniques for manipulating the apparent depth of objects and creating the illusion of motion in 2D images. Our techniques combine principles of human visual perception with approaches developed by traditional artists. For our depth manipulation technique, the user loads an image, selects an object and specifies whether the object should appear closer or further away. The system automatically determines luminance or color temperature target values for the object and/or background that achieve the desired depth change. Our approach for creating the illusion of motion exploits the differences between our peripheral vision and our foveal vision by introducing spatial imprecision to the image.

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References

  1. Backus, B.T., Oruç, İ.: Illusory motion from change over time in the response to contrast and luminance. J. Vision 5(11), 1055–1069 (2005)

    Article  Google Scholar 

  2. Bailey, R., Grimm, C., Davoli, C.: The effect of warm and cool object colors on depth ordering. In: APGV ’06: Proceedings of the 3rd Symposium on Applied Perception in Graphics and Visualization, p. 161. ACM, New York (2006)

    Google Scholar 

  3. Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: SIGGRAPH ’00: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 417–424. ACM/Addison-Wesley, New York (2000)

    Book  Google Scholar 

  4. Chuang, Y.Y., Goldman, D.B., Zheng, K.C., Curless, B., Salesin, D.H., Szeliski, R.: Animating pictures with stochastic motion textures. ACM Trans. Graph. 24(3), 853–860 (2005)

    Article  Google Scholar 

  5. Comaniciu, D., Meer, P.: Robust analysis of feature spaces: Color image segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 750–755 (1997)

  6. Efros, A.A., Freeman, W.T.: Image quilting for texture synthesis and transfer. In: SIGGRAPH ’01: Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, pp. 341–346. ACM, New York (2001)

    Book  Google Scholar 

  7. Foley, J.D., van Dam, A., Feiner, S.K., Hughes, J.F.: Computer Graphics: Principles and Practice, 2nd edn. (The Systems Programming Series). Addison-Wesley, New York (1996)

    MATH  Google Scholar 

  8. Freeman, W.T., Adelson, E.H., Heeger, D.J.: Motion without movement. In: SIGGRAPH ’91: Proceedings of the 18th Annual Conference on Computer Graphics and Interactive Techniques, pp. 27–30. ACM, New York (1991)

    Book  Google Scholar 

  9. Freixenet, J., Muñoz, X., Raba, D., Martí, J., Cufí, X.: Yet another survey on image segmentation: region and boundary information integration. In: ECCV ’02: Proceedings of the 7th European Conference on Computer Vision-Part III, pp. 408–422. Springer, Berlin Heidelberg New York (2002)

    Google Scholar 

  10. Gooch, A.A., Gooch, B.: Enhancing perceived depth in images via artistic matting. In: Proceedings of the 1st Symposium on Applied Perception in Graphics and Visualization, p. 168. ACM, New York (2004)

    Google Scholar 

  11. Heckbert, P.S., Garland, M.: Multiresolution modeling for fast rendering. In: Proceedings of Graphics Interface ’94, pp. 43–50. Canadian Information Processing Society, Banff, Canada (1994)

  12. Kawagishi, Y., Hatsuyama, K., Kondo, K.: Cartoon blur: non-photorealistic motion blur. In: Proceedings of Computer Graphics International, pp. 276–281 (2003)

  13. Kuffler, S.W.: Discharge patterns and functional organization of the mammalian retina. J. Neurophys. 16, 37–68 (1953)

    Google Scholar 

  14. Li, Y., Sun, J., Tang, C.K., Shum, H.Y.: Lazy snapping. ACM Trans. Graph. 23(3), 303–308 (2004)

    Article  Google Scholar 

  15. Livingstone, M.: Vision and Art: The Biology of Seeing. Abrams, New York (2002)

    Google Scholar 

  16. Masuch, M.: Speedlines: depicting motion in motionless pictures. In: ACM SIGGRAPH ’99 Conference Abstracts and Applications, p. 277. ACM, New York (1999)

    Google Scholar 

  17. Moriya, T., Takahashi, T., Tanaka, A.: Nonphotorealistic rendering technique for depicting 3D objects motion. In: SIGGRAPH ’06: Research Posters, p. 114. ACM, New York (2006)

    Google Scholar 

  18. Ogden, T.E., Miller, R.F.: Studies of the optic nerve of the rhesus monkey: nerve fiber spectrum and physiological properties. Vision Res. 6, 485–506 (1966)

    Article  Google Scholar 

  19. Pfautz, J.: Depth perception in computer graphics. Dissertation, University of Cambridge, Cambridge, UK (2000)

  20. Rogers, D.: Implementing Fog in Direct3D. NVIDIA Corporation, Santa Clara, CA (2000)

  21. Shoup, R.G.: Color table animation. In: SIGGRAPH ’79: Proceedings of the 6th Annual Conference on Computer Graphics and Interactive Techniques, pp. 8–13. ACM, New York (1979)

    Book  Google Scholar 

  22. Sundet, J.M.: Effects of colour on perceived depth: review of experiments and evaluation of theories. Scand. J. Psychol. 19(2), 133–143 (1978)

    Google Scholar 

  23. Zimmerman, G.L., Nguyen, V.: Motion perception at equiluminance and the consequences for computational vision systems. In: D.P. Casasent (ed.) Proceedings SPIE Vol. 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, pp. 401–412 (1992)

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Washington University, One Brookings Drive, Box 1045, 63130, St. Louis, MO, USA

    Reynold J. Bailey & Cindy M. Grimm

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  1. Reynold J. Bailey
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  2. Cindy M. Grimm
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Correspondence to Reynold J. Bailey.

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Bailey, R., Grimm, C. Perceptually meaningful image editing. Visual Comput 23, 813–821 (2007). https://doi.org/10.1007/s00371-007-0131-x

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  • DOI: https://doi.org/10.1007/s00371-007-0131-x

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