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Fast High Accuracy Volume Rendering

This thesis defense presents an overview of the problem, previous work, and contributions in fast and high accuracy volume rendering. It explores adaptive transfer function sampling, linear luminance, partial pre-integration, and linear opacity. Results and conclusions are also discussed.

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Fast High Accuracy Volume Rendering

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  1. Fast High Accuracy Volume Rendering Thesis Defense May 2004 Kenneth Moreland Ph.D. Candidate Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company,for the United States Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.

  2. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  3. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  4. Problem Description • Given: A 3D field of scalar information, typically represented as: • A finite set of points in three space with associated scalar values. • A connectivity graph. Fast High Accuracy Volume Rendering

  5. Problem Description • Goal: Transform scalars to colors/opacities, render 3D model. Scalars Transfer Function Colors Opacities Fast High Accuracy Volume Rendering

  6. What Is Available • Traditional/commodity 3D graphics hardware • Fast, powerful, and now flexible. • Only (directly) support 0, 1, and 2 dimensional primitives (i.e. points, lines, and polygons). • Special purpose volume rendering hardware • Constrained functionality; rectilinear grids only. • Smaller economy of scale. • Development/fabrication costs distributed less. • Longer time span between generations. Fast High Accuracy Volume Rendering

  7. Using Commodity Graphics Hardware • Naïve approach: render cell faces as translucent polygons. Fast High Accuracy Volume Rendering

  8. Using Commodity Graphics Hardware • Naïve approach: render cell faces as translucent polygons. • Result: “unrealistic” hollow cells. Fast High Accuracy Volume Rendering

  9. Why is it Wrong? • 2D polygons only capture surfaces. • Volumes absorb/emit light differently. Fast High Accuracy Volume Rendering

  10. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  11. Light Transport Fast High Accuracy Volume Rendering

  12. Light Transport Fast High Accuracy Volume Rendering

  13. A Light Transport Model • The Particle Model • Sabella, 1988 Fast High Accuracy Volume Rendering

  14. A Light Transport Model • Ultimately, as light passes though a disk of size d, some percentage energy is absorbed, while some fixed amount is added. Fast High Accuracy Volume Rendering

  15. The Volume Rendering Equation Fast High Accuracy Volume Rendering

  16. The Volume Rendering Equation • This equation must be solved for every pixel. • In practice, we do piecewise integration, so we may have to solve 100’s of times or more per pixel. • Has no closed form. • Must solve for specific L and  functions. Fast High Accuracy Volume Rendering

  17. Solution: Linear • We can do a first order approximation through cells with linear interpolation. • The volume rendering equation can be solved with linear functions for L and , but… Fast High Accuracy Volume Rendering

  18. Solution: Linear Fast High Accuracy Volume Rendering

  19. Solution: Linear Fast High Accuracy Volume Rendering

  20. Solution: Linear Fast High Accuracy Volume Rendering

  21. Many Terms Three Cases Numerically Unstable Solution: Linear Fast High Accuracy Volume Rendering

  22. Linear “Approximation” • Plug in average luminance and attenuation. Fast High Accuracy Volume Rendering

  23. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  24. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  25. Transfer Function • In the real world, a cloud is parameterized with material properties (luminance and density). • In scientific visualization, a volume can parameterized by any number of scalars (pressure, temperature, vorticity, density, etc.). • These scalars are mapped to material properties via a transfer function. • The scalar (f) often varies linearly, but the transfer function (TL and T) does not. Fast High Accuracy Volume Rendering

  26. Transfer Function Sampling • We cannot solve the volume rendering integral for general transfer functions, so we sample. 0 0.5 1 0.5 0 1 Fast High Accuracy Volume Rendering

  27. Transfer Function Sampling • We cannot solve the volume rendering integral for general transfer functions, so we sample. 0 0.5 1 0.5 0 1 Fast High Accuracy Volume Rendering

  28. Transfer Function Sampling • We cannot solve the volume rendering integral for general transfer functions, so we sample. 0 0.5 1 0.5 0 1 (0.5) Fast High Accuracy Volume Rendering

  29. Transfer Function Sampling • We cannot solve the volume rendering integral for general transfer functions, so we sample. 0 0.5 1 0.5 0.5 0 1 0 1 (0.5) (0.5) Fast High Accuracy Volume Rendering

  30. Transfer Function Aliasing Fast High Accuracy Volume Rendering

  31. Adaptive Transfer Function Sampling • Constrain the transfer function to be piecewise linear [Williams98]. • The function has linear segments joined at control points. • Between the control points, the properties change linearly. Fast High Accuracy Volume Rendering

  32. Adaptive Transfer Function Sampling • If none of the scalars in a cell are a control point of the transfer function, then the transfer function varies linearly. • Solution: clip cells at control points. • When the scalars vary linearly, the locus of points for a given scalar is a plane. • Rather than clip cells geometrically, clip ray fragments. Fast High Accuracy Volume Rendering

  33. Adaptive Transfer Function Sampling • Clipping parameters can be determined from the surface scalars relative to the isosurface scalar. Fast High Accuracy Volume Rendering

  34. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  35. Linear Luminance • A common approach for finding a closed form for the volume rendering integral [Max90, Shirley90] is to hold the luminance constant. • This simplifies the equation, but introduces error in the color. • Instead, let us analyze the volume rendering integral with linearly varying luminance. Fast High Accuracy Volume Rendering

  36. Linear Luminance Fast High Accuracy Volume Rendering

  37. Linear Luminance • After lots of calculus… Fast High Accuracy Volume Rendering

  38. Notice the Repetition Linear Luminance • After lots of calculus… Fast High Accuracy Volume Rendering

  39. Substitute Let • Now we just need to solve for  and . Fast High Accuracy Volume Rendering

  40. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  41. , linear  • Easy enough to solve. • Not too bad to compute. Fast High Accuracy Volume Rendering

  42. , linear  • Not so easy to solve/compute. • But, we can build a 3D table. • Calculate values for all applicable (D,b,f) triples. Fast High Accuracy Volume Rendering

  43. Smaller Tables • 3D tables work, but • take lots of space • are not very cache coherent • We could afford much more fidelity in a 2D table. • Consider what happens when we change the limits of the integrals to range from 0 to 1. Fast High Accuracy Volume Rendering

  44. Smaller Tables • Next, we distribute D within the inner integral. • Notice that this is an algebraic manipulation, not an approximation. Fast High Accuracy Volume Rendering

  45. Problem: The domain is infinite.  goes to zero as bD or fD goes to , but not fast enough. Partial Pre-Integration • Because part of the equation is stored in a table, I dub this technique partial pre-integration. Fast High Accuracy Volume Rendering

  46. Partial Pre-Integration • Solution: change the variables used to index . Fast High Accuracy Volume Rendering

  47. Partial Pre-Integration Average Partial Pre-Integration [Williams98] Fast High Accuracy Volume Rendering

  48. Overview • Problem Description • Previous Work • Contributions • Adaptive Transfer Function Sampling • Linear Luminance • Partial Pre-Integration • Linear Opacity • Results • Conclusions Fast High Accuracy Volume Rendering

  49. Linear Attenuation is Not Always Best • A user-intuitive transfer function editor presents opacity in the range from completely transparent to completely opaque. • But attenuation ranges from 0 to infinity. • It also allows the user to vary the visible opacity linearly. • But linear changes in attenuation result in exponential changes in visible opacity. Fast High Accuracy Volume Rendering

  50. Attenuation versus Opacity • Attenuation relates to the density of the volume. • Opacity is the fraction of light the volume occludes. • The relationship between the two [Wilhelms91]: Fast High Accuracy Volume Rendering

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