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Correlation Analysis between Artists' Shading and CG Shading

미술가들의 음영 표현 특성과 CG 쉐이딩 알고리즘 간의 상관관계 분석

  • Received : 2011.02.20
  • Accepted : 2011.04.21
  • Published : 2011.05.31

Abstract

Recently, several researchers have attempted to combine human visual perception and computer graphics. Cole et. al. suggest the study results in which line drawing algorithm in computer graphics characterize the properties of line drawing made by artists. The paper also evaluates CG line drawing algorithms depending on whether people recognize effectively specific 3D shape from the image made by those CG line drawing algorithms. However, human recognizes the shape of objects more effectively in image made by BRDF shading model than line drawing algorithm. It means that the shading factor is important to recognize shape with human perception. In this paper, we analyze the correlation between shading made by human artists and that made by CG shading algorithms. The study is to characterize the mathematical properties of artists' shading and CG shading. This type of analysis can guide the future development of new CG shading algorithm in computer graphics for the purpose of shape perception.

최근 컴퓨터 그래픽스와 사용자의 인지를 결합한 다양한 연구들이 진행되고 있다. Cole 등은 미술가들의 라인 드로잉 데이터를 수집하여 기존의 CG(Computer-Generated) 라인 드로잉 알고리즘들이 미술가들의 드로잉 특성을 반영하고 있는지 비교하고, 사용자들이 어떤 라인 드로잉 알고리즘의 결과에서 형태를 효과적으로 인지하는지 평가하는 실험을 수행하였다. 그러나 라인 드로잉 알고리즘의 결과보다 BRDF 쉐이딩 모델이 적용된 결과에서 형태를 더욱 효과적으로 인지한다는 결과를 보였는데, 이는 음영이 형태 정보를 전단하기에 더욱 효과적인 요소임을 반증한다. 따라서 본 논문에서는 물체에서 인지한 음영과 미술가들의 음영 표현, 그리고 CG 쉐이딩 알고리즘 간의 상관관계에 대해서 연구한다. 특히, 미술가들의 음영 표현 특성과 CG 쉐이딩 알고리즘에서 나타나는 특성에 초점을 맞추고 이를 정량적으로 분석한다. 본 논문에서 수집한 실험 데이터 및 분석 결과는 효과적인 형태 전달을 목적으로 하는 새로운 CG 쉐이딩 알고리즘을 설계하는데 활용한 것으로 기대된다.

Keywords

References

  1. Cole, F., Golovinskiy, A., Limpaecher, A., Barros, H. S., Finkelstein, A., Funkhouser, T., and Rusinkiewicz, S., "Where Do People Draw Lines?," ACM Transactions on Graphics, Vol.27, Issue3, 2008.
  2. Hillberry, J. D., "Drawing Realistic Textures in Pencil," North Light Books; 1st edition, pp. 20-21, 1999.
  3. Watson, E. W. and Watson, A. A., "The Watson Drawing Book," Bell Publishing Co., pp.45-48, 1962.
  4. Sang-Hyun Seo and Kyung-Hyun Yoon, "A Study on Pointillistic Rendering Based on User Defined Palette", Journal of Korea Multimedia Society, Vol.11, No.4. pp.554-565, April 2008.
  5. Gooch, A., Gooch, B., Shirley, P., and Cohen, E., "A Non-Photorealistic Lighting Model for Automatic Technical Illustration," In Proceedings of the 1998 Conference on Computer Graphics and Interactive Techniques, pp.447- 452, 1998.
  6. Eric Bruneton, Fabrice Neyret, and Nicolas Holzschuch, "Real-time Realistic Ocean Lighting using Seamless Transitions from Geometry to BRDF," Computer Graphics Forum, Vol.29, Issue2, pp.487-496, 2010.
  7. El-Mahdy, A. and El-Shishiny, H., "High- quality HDR Rendering Technologies for Emerging Applications," IBM Journal of Research and Development, Vol.54, Issue6, pp.8:1-8:15, 2010.
  8. Aaron Hertzmann, "Non-Phonotrealistic Rendering and the Science of Art," NPAR '10 proceedings of the 8th International Symposium on Non-photorealistic Animation and Rendering, 2010.
  9. Michael Press and Jihad El-Sana, "Multiresolution Hierarchy for Real-Time Cartoon-Style Rendering," Geometric Modeling and Imaging, pp.63-68, 2006.
  10. He, X. D., Torrance, K. E., Sillion, F. X., and Greenberg, D. P., "A Comprehensive Physical Model for Lighting Reflection," In Proceedings of the 1991 Conference on Computer Graphics and Interactive Techniques/ACM SIGGRAPH Computer Graphics, Vol.25, Issue4, 1991.
  11. Kun Zeng Lotus, Mingtian Zhao, Caiming Xion, and Song-Chun Zhu, "From Image Parsing to Painterly Rendering," ACM Transactions on Graphics, Vol.29, Issue1, pp.2:1-2:11, 2009.
  12. Sung Ye Kim, Ross Maciejewski, Tobias Isenberg, William M. Andrews, Wei Chen Mario Costa Sousa, and David S. Ebert, "Stippling by Example," Proceedings of the 7th International Symposium on Non- Photorealistic Animation and Rendering, pp.41-49, 2009.
  13. Cole, F., Sanik, K., Decarlo, D., Finkelstein, A., Funkhouser, T., Rusinkiewicz, S., and Singh, M., "How Well Do Line Drawing Depict Shape?," ACM Transaction on Graphics, Vol. 28, Issue3, 2009.
  14. Winnemӧller, H., Feng, D., Gooch, B., and Suzuki, S., "Using NPR to Evaluate Perceptual Shape Cues in Dynamic Environments," NPAR, 2007.
  15. Sousa, M., C. and Buchanan, J., W., "Observational Models of Graphite Pencil Materials," Computer Graphics Forum, Vol.19, Issue1, 2000.
  16. Winkenbach, G. and Salesin, D. H., "Computer- Generated Pen-and-Ink Illustration," In Proceedings of the 1994 Conference on Computer Graphics and Interactive Techniques, pp.91-100, 1994.
  17. Lee, H., Kwon, S., and Lee, S., "Real-Time Pencil Rendering," In Proceedings of the 2006 international symposium on Non-Photorealistic Animation and Rendering, pp.37-45, 2006.

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