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Shading Algorithm Evaluation based on User Perception

사용자 인지 실험 기반 쉐이딩 알고리즘 평가

  • Received : 2011.05.16
  • Accepted : 2011.06.10
  • Published : 2011.06.28

Abstract

In this paper, we evaluate the effectiveness of previous shading algorithms in depicting shape of 3d objects. We perform a study in which people are shown an image of one of ten 3D objects shaded with one of eight styles and asked to orient a gauge to coincide with the surface normal at many positions on the object's surface. The normal estimates are compared with each other and with ground truth data provided by a registered 3D surface model to analyze accuracy and precision. Our experiments suggest that people interpret certain shape differently depending on shading of 3d object. This paper offers substantial evidence that current computer graphics shading algorithms can effectively depict shape of 3d objects where the algorithms have the properties of lots of tone steps and uniformly distributed tone steps. This type of analysis can guide the future development of new CG shading algorithms in computer graphics for the purpose of shape perception.

본 논문에서는 기존에 제시된 쉐이딩 알고리즘들이 음영 표현을 통해 3차원 물체의 형태를 효과적으로 전달하는지 평가하고 검증한다. 8가지 스타일로 쉐이딩된 10개의 3차원 물체 중의 한 개의 이미지를 사람들에게 보여주고 물체 표면의 여러 곳의 위치에서 곡면의 법선 벡터와 일치하도록 측정기(gauge)의 방향을 조정하도록 요청하는 스터디를 수행한다. 이 실험에서 수집한 법선 벡터 추정치가 사람들 간에 서로 일치하는지 비교하고 또한 실제 3차원 곡면 모델의 법선 벡터와 일치하는지도 비교한다. 본 논문의 실험을 통하여 물체의 음영을 표현하는 방법에 따라서 사람들이 물체의 형태를 다르게 해석한다는 사실을 보인다. 또한, 기존의 쉐이딩 알고리즘들 중에서 음영 톤의 단계수가 많고 톤 단계가 전반적으로 균일하게 분포되어 있는 특성을 가지는 알고리즘이 물체의 형태를 보다 효과적으로 표현하는 것으로 나타났다. 본 논문에서 수집한 실험 데이터 및 분석 결과는 물체의 형태를 효과적으로 전달하는 것을 목적으로 하는 새로운 CG 쉐이딩 알고리즘을 설계하는데 활용 가능할 것으로 기대된다.

Keywords

References

  1. F. Cole, A. Golovinskiy, A. Limpaecher, H. S. Barros, A. Finkelstein, T. Funkhouser, and S. Rusinkiewicz, "Where Do People Draw Lines?," ACM Transactions on Graphics, Vol.27, No.3, 2008.
  2. F. Cole, K. Sanik, D. Decarlo, A. Finkelstein, T. Funkhouser, S. Rusinkiewicz, and M. Singh, "How Well Do Line Drawing Depict Shape?," ACM Transaction on Graphics, Vol.28, No.3, 2009.
  3. J. D. Hillberry, "Drawing Realistic Textures in Pencil," North Light Books; 1st edition, pp.20-21, 1999.
  4. E. W. Watson and A. A. Watson, "The Watson Drawing Book," Bell Publishing Co., pp.45-48, 1962.
  5. J. J. Koenkerink, A. Van Doorn, and A. Kappers, "Surface Perception in Pictures," Perception and Psychophysics, Vol.52, pp.287-296, 1992.
  6. J. J. Koenderink, A. J. Van Doorn, A. M. Kappers, and J. T. Todd, "Ambiguity and the 'Mental Eye' in Pictorial Relief," Perception, Vol.30, pp.431-448, 2001. https://doi.org/10.1068/p3030
  7. J. P. O'Shea, M. S. Banks, and M. Agrawala, "The Assumed Light Direction for Perceiving Shape from Shading," ACM Applied Perception in Graphics and Visualization(APGV), pp.135-142, 2008.
  8. R. W. Fleming, A. Torralba, and E. H. Andlson, "Specular Reflections and the Perception of Shape," Journal of Vision, Vol.4, No.9, pp.798-820, 2004. https://doi.org/10.1167/4.8.798
  9. J. J. Koenderink, Van Doorn, A. C. Christou, and J. Lappin, "Shape Constancy in Pictorial Relief," Perception, Vol.25, pp.155-164, 1996. https://doi.org/10.1068/p250155
  10. Murat Kurt, Laszlo Szirmay-Kalos, and Jaroslav Krivanek, "An Anisotropic BRDF Model for Fitting and Monte Carlo Rendering," ACM SIGGRAPH Computer Graphics, Vol.44, No.1, 2010.
  11. A. El-Mahdy and H. El-Shishiny, "High-quality HDR Rendering Technologies for Emerging Applications," IBM Journal of Research and Development, Vol.54, No.6, pp.8:1-8:15, 2010.
  12. 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.
  13. Micahel Press and Jihad EI-Sana, "Multiresolution Hierarchy for Real-Time Cartoon-Style Rendering," Geometric Modeling and Imaging, pp.63-68, 2006.
  14. A. Gooch, B. Gooch, P. Shirley, and E. Cohen, "A Non-Photorealistic Lighting Model for Automatic Technical Illustration," Proceedings of the 1998 Conference on Computer Graphics and Interactive Techniques, pp.447-452, 1998.
  15. H. Lee, S. Kwon, and S. Lee, "Real-Time Pencil Rendering," Proceedings of the 2006 International Symposium on Non-Photorealistic Animation and Rendering, pp.37-45, 2006.
  16. G. Winkenbach and D. H. Salesin, "Computer-Generated Pen-and-Ink Illustration," Proceedings of the 1994 Conference on Computer Graphics and Interactive Techniques, pp.91-100, 1994.
  17. S. Y. 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.41-46, 2009.
  18. H. Winnemoller, D. Feng, B. Gooch, and S. Suzuki, "Using NPR to Evaluate Perceptual Shape Cues in Dynamic Environments," NPAR '07 Proceedings of the 5th International Symposium on Non-photorealistic Animation and Rendering, 2007.