Abstract
One of the main goals in realistic rendering is to generate images that are indistinguishable from photographs — but how do observers decide whether an image is photographic or computer-generated? If this perceptual process were understood, then rendering algorithms could be developed to directly target these cues. In this paper we introduce an experimental method for measuring the perception of visual realism in images, and present the results of a series of controlled human subject experiments. These experiments cover the following visual factors: shadow softness, surface smoothness, number of light sources, number of objects, and variety of object shapes. This technique can be used to either affirm or cast into doubt common assumptions about realistic rendering. The experiments can be performed using either photographs or computer-generated images. This work provides a first step towards objectively understanding why some images are perceived as photographs, while others as computer graphics.
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References
Christopher Barbour and Gary Meyer. Visual Cues and Pictorial Limitations for Computer Generated Photorealistic Images. In The Visual Computer, vol 9, pp. 151–165. 1992.
Vicki Bruce, Patrick Green, and Mark Georgeson. Visual Perception: Physiology, Psychology, and Ecology. East Sussex, UK, 1996. Psychology Press
Alan Chalmers, Scott Daly, Ann McNamara, Karol Myszkowski, and Tom Troscianko. Image Quality Metrics. SIGGRAPH 2000 Course Notes #14. July, 2000. ACM.
Kenneth Chiu and Peter Shirley. Rendering, Complexity, and Perception. In Proc of the 5thEurographics Rendering Workshop. SpringerWien. New York, NY. 1994.
Paul E. Debevec and Jitendra Malik. Recovering High Dynamic Range Radiance Maps from Photographs. In Proc of SIGGRAPH 97, August 1997. ACM.
H.P Duiker, Tim Hawkins, and Paul Debevec. Mkhdr. www.debevec.org/FiatLux/mkhdr
James Ferwerda. Visual Models for Realistic Image Synthesis. Ph.D. thesis, Comell, 1998.
Ian Gordon. Theories of Visual Perception. John Wiley & Sons, New York, NY, 1997.
Margaret Hagen. The Perception of Pictures. New York, 1980. Academic Press.
Eric Horvitz and Jed Lengyel. Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering. In Proc of Thirteenth Conf on Uncertainty in AI, pp. 238–249. Providence, 1997.
Jed Lengyel. The Convergence of Graphics and Vision. In IEEE Computer, July 1998.
Gustave Levine and Stanley Parkinson. Experimental Methods in Psychology. Hillsdale, New Jersey, 1994. Lawrence Erlbaum Associates.
Ann McNamara, Alan Chalmers, Tom Troscianko, and lain Gilchrist. Comparing Real & SynthetiC Scenes using Human Judgement of Lightness. In Proc of Eurographics Workshop on Rendering. Springer-Verlag 2000.
Gary Meyer, Holly Rushmeier, Michael Cohen, Donald Greenberg, and Kenneth Torrance. An Experimental Evaluation of Computer Graphics Imagery. In Transactions on Graphics, 5(1), pp.30–50. New York, 1986. ACM.
Alejandro Parraga, Tom Troscianko, David Tolhurst. The Human Visual System Is Optimized For Processing The Spatial Information In Natural Visual Images. In Current Biology, 10, pp. 35–38. 2000.
Sumanta Pattanaik, James Ferwerda, Kenneth Torrance, and Donald Greenberg. Validation of Global Illumination Solutions Through CCD Camera Measurements. In Proc of 5th Color Imaging Cont, Soc for Imaging Sci and Tech, pp. 250–253, 1997.
Mahesh Ramasubramanian, Sumanta Pattanaik, and Donald Greenberg. A Perceptually Based Physical Error Metric for Realistic Image Synthesis. In Proc of SIGGRAPH 99. New York, 1999. ACM.
Holly Rushmeier, G. Larson, C. Piatko, P. Sanders, and B. Rust. Comparing Real and Synthetic Images: Some Ideas About Metrics. In Proc of Eurographics Rendering Workshop 1995. SpringerWien, New York, NY. 1995
Babubhai Shah, Beth Barnwell, and Gayle Bieler. SUDAAN User’s Manual, Release 7. Research Triangle Institute, RTP, NC.
Rita Street. Toys Will be Toys: Toy Story. Cinefex, issue 64. 1995.
William Thompson, Peter Shirley, Brian Smits, Daniel Kersten, and Cindee Madison. Visual Glue. University of Utah Technical Report UUCS-98-007, March 12, 1998.
Vladimir Volevich, Karol Myszkowski, Andrei Khodulev, and Edward Kopylov. Using the Visual Differences Predictor to Improve Perfonnance of Progressive Global Illumination Computation. In Transaction on Graphics, 19(1), pp. 122–161. New York, 2000. ACM.
B. J. Winer, Donald Brown, and Kenneth Michels. Statistical Principles in Experimental Design, 3rd ed. New York, 1991. McGraw-Hill.
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Rademacher, P., Lengyel, J., Cutrell, E., Whitted, T. (2001). Measuring the Perception of Visual Realism in Images. In: Gortler, S.J., Myszkowski, K. (eds) Rendering Techniques 2001. EGSR 2001. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6242-2_22
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DOI: https://doi.org/10.1007/978-3-7091-6242-2_22
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