Article

Perception-guided global illumination solution for animation rendering

Authors:

Karol Myszkowski,

Takehiro Tawara,

Hiroyuki Akamine,

Hans-Peter SeidelAuthors Info & Claims

SIGGRAPH '01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques

Pages 221 - 230

https://doi.org/10.1145/383259.383284

Published: 01 August 2001 Publication History

Abstract

We present a method for efficient global illumination computation in dynamic environments by taking advantage of temporal coherence of lighting distribution. The method is embedded in the framework of stochastic photon tracing and density estimation techniques. A locally operating energy-based error metric is used to prevent photon processing in the temporal domain for the scene regions in which lighting distribution changes rapidly. A perception-based error metric suitable for animation is used to keep noise inherent in stochastic methods below the sensitivity level of the human observer. As a result a perceptually-consistent quality across all animation frames is obtained. Furthermore, the computation cost is reduced compared to the traditional approaches operating solely in the spatial domain.

References

[1]

A.A. Apodaca and L. Gritz. Advanced RenderMan. Morgan Kaufmann, 1999.

[2]

P.R. Bevington and D.K. Robinson. Data Reduction and Error Analysis for the Physical Sciences. McGraw-Hill, Inc., New York, 1992.

[3]

M.R. Bolin and G.W. Meyer. A Perceptually Based Adaptive Sampling Algorithm. In SIGGRAPH 98 Conference Proceedings, Annual Conference Series, pages 299-310, 1998.

Digital Library

[4]

S.E. Chen. Incremental Radiosity: An Extension of Progressive Radiosity to an Interactive Image Synthesis System. In Computer Graphics (SIGGRAPH 90 Conference Proceedings), pages 135-144, 1990.

Digital Library

[5]

C. Damez and F.X. Sillion. Space-Time Hierarchical Radiosity for High-Quality Animations. In Eurographics Rendering Workshop 1999, pages 235-246, 1999.

Digital Library

[6]

G. Drettakis and F.X. Sillion. Interactive Update of Global Illumination Using a Line-Space Hierarchy. In SIGGRAPH 97 Conference Proceedings, Annual Conference Series, pages 57-64, 1997.

Digital Library

[7]

J.A. Ferwerda, S. Pattanaik, P. Shirley, and D.P. Greenberg. A Model of Visual Masking for Computer Graphics. In SIGGRAPH 97 Conference Proceedings, Annual Conference Series, pages 143-152, 1997.

Digital Library

[8]

D.W. George, F.X. Sillion, and D.P. Greenberg. Radiosity Redistribution for Dynamic Environments. IEEE Computer Graphics and Applications, 10(4):26- 34, July 1990.

Digital Library

[9]

S. Gibson and R.J. Hubbold. Efficient Hierarchical Refinement and Clustering for Radiosity in Complex Environments. Computer Graphics Forum, 15(5):297- 310, 1996.

[10]

B. Girod. The Information Theoretical Significance of Spatial and Temporal Masking in Video Signals. pages 178-187. Proc. of SPIE Vol. 1077, 1989.

[11]

D.P. Greenberg. A Framework for Realistic Image Synthesis. Communications of the ACM, 42(8):43-53, August 1999.

Digital Library

[12]

P. Heckbert. Adaptive Radiosity Textures for Bidirectional Ray Tracing. In Computer Graphics (SIGGRAPH 90 Conference Proceedings), pages 145-154, August 1990.

Digital Library

[13]

W. Heidrich. Interactive Display of Global Illumination Solutions for Non- Diffuse Environments. In State of the Art Reports. Eurographics, 2000.

[14]

H. W. Jensen. Global Illumination Using Photon Maps. In Eurographics Rendering Workshop 1996, pages 21-30, 1996.

Digital Library

[15]

M.M. Kalos and P.A. Whitlock. Monte Carlo Methods. Wiley International, 1986.

Digital Library

[16]

A. Keller. Instant Radiosity. In SIGGRAPH 97 Conference Proceedings, Annual Conference Series, pages 49-56, 1997.

Digital Library

[17]

S. Muller, W. Kresse, and F. Schoeffel. A Radiosity Approach for the Simulation of Daylight. In Eurographics Rendering Workshop 1995, pages 137-146, 1995.

[18]

K. Myszkowski, P. Rokita, and T. Tawara. Perceptually-Informed Accelerated Rendering of High Quality Walkthrough Sequences. In Eurographics Rendering Workshop 1999, pages 5-18, 1999.

Digital Library

[19]

J. Nimeroff, J. Dorsey, and H. Rushmeier. Implementation and Analysis of an Image-Based Global Illumination Framework for Animated Environments. IEEE Transactions on Visualization and Computer Graphics, 2(4):283-298, 1996.

Digital Library

[20]

W. Osberger. Perceptual Vision Models for Picture Quality Assessment and Compression Applications. Ph.D. thesis, Queensland University of Technology, 1999.

[21]

X. Pueyo, D. Tost, I. Martin, and B. Garcia. Radiosity for Dynamic Environments. The Journal of Visualization and Comp. Animation, 8(4):221-231, 1997.

[22]

M. Ramasubramanian, S.N. Pattanaik, and D.P. Greenberg. A Perceptually Based Physical Error Metric for Realistic Image Synthesis. In SIGGRAPH 99 Conference Proceedings, Annual Conference Series, pages 73-82, 1999.

Digital Library

[23]

H. Rushmeier, G. Ward, C. Piatko, P. Sanders, and B. Rust. Comparing Real and Synthetic Images: Some Ideas About Metrics. In Eurographics Rendering Workshop 1995, pages 82-91, 1995.

[24]

F. Schoeffel and P. Pomi. Reducing Memory Requirements for Interactive Radiosity Using Movement Prediction. In Eurographics Rendering Workshop 1999, pages 225-234, 1999.

Digital Library

[25]

P. Shirley, B. Wade, P. M. Hubbard, D. Zareski, B. Walter, and D. P. Greenberg. Global Illumination via Density Estimation. In Eurographics Rendering Workshop 1995, pages 219-230, 1995.

[26]

J. Tumblin and H.E. Rushmeier. Tone Reproduction for Realistic Images. IEEE Computer Graphics and Applications, 13(6):42-48, November 1993.

Digital Library

[27]

V. Volevich, K. Myszkowski, A. Khodulev, and Kopylov E.A. Using the Visible Differences Predictor to Improve Performance of Progressive Global Illumination Computations. ACM Transactions on Graphics, 19(2):122-161, 2000.

Digital Library

[28]

V. Volevich, K. Myszkowski, A.B. Khodulev, and E.A. Kopylov. Perceptually- Informed Progressive Global Illumination Solution. Technical Report TR-99-1- 002, Department of Computer Science, Aizu University, February 1999.

[29]

B.J. Walter. Density Estimation Techniques for Global Illumination. Ph.D. thesis, Cornell University, 1998.

Digital Library

[30]

G.J. Ward. The RADIANCE Lighting Simulation and Rendering System. In SIGGRAPH 94 Conference Proceedings, Annual Conference Series, pages 459- 472, 1994.

Digital Library

[31]

Y.L.H. Yee. Spatiotemporal Sensitivity and Visual Attention for Efficient Rendering of Dynamic Environments. M.Sc. thesis, Cornell University, 2000.

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https://doi.org/10.1007/978-981-99-9666-7_20
Salmi ACséfalvay SImber J(2023)Generative Adversarial Shaders for Real‐Time Realism EnhancementComputer Graphics Forum10.1111/cgf.1487042:8Online publication date: 2-Aug-2023
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Index Terms

Perception-guided global illumination solution for animation rendering
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Animation

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cover image ACM Conferences

SIGGRAPH '01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques

August 2001

600 pages

ISBN:158113374X

DOI:10.1145/383259

Chairman:
Lynn Pocock
New York Inst. of Technology

Copyright © 2001 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 August 2001

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SIGGRAPH '01 Paper Acceptance Rate 65 of 300 submissions, 22%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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https://doi.org/10.1007/978-981-99-9666-7_20
Salmi ACséfalvay SImber J(2023)Generative Adversarial Shaders for Real‐Time Realism EnhancementComputer Graphics Forum10.1111/cgf.1487042:8Online publication date: 2-Aug-2023
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Wang LShi XLiu Y(2023)Foveated rendering: A state-of-the-art surveyComputational Visual Media10.1007/s41095-022-0306-49:2(195-228)Online publication date: 3-Jan-2023
https://doi.org/10.1007/s41095-022-0306-4
Shi XWang LWei XYan L(2021)Foveated Photon MappingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310648827:11(4183-4193)Online publication date: Nov-2021
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Günther RGuthe SGuthe MCunningham DBreuß MJoerg SInterrante V(2017)A visual model for quality driven refinement of global illuminationProceedings of the ACM Symposium on Applied Perception10.1145/3119881.3119893(1-8)Online publication date: 16-Sep-2017
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