Color Plates

Plate I: Images computed with hierarchical Monte Carlo radiosity, with per-ray refinement (under 1 minute CPU time for up to 500,000 surface elements). (See Figure 6.28.)

Plate II: A car model rendering under real-world illumination, using a high dynamic range light probe (left images, photographs at various shutter times shown on top) and a histogram method. (See Figure 6.14.)

Plate III: Images rendered with a kernel density estimation method. (Images courtesy of F. Drago and K. Myszkowski, Max-Planck-Institute for Informatics, Saarbr ucken, Germany). (See Figure 6.15.)

Plate IV: Images rendered with a kernel density estimation method. (Images courtesy of B. Walter, Ph. Hubbard, P. Shirley, and D. Greenberg, Cornell Program of Computer Graphics). (See Figure 6.19.)

Plate V: Left: Stochastic ray tracing; middle: light tracing; right: bidirectional ray tracing. (Courtesy of F. Suykens-De Laet, Dept. of Computer Science, K. U. Leuven.) (See Figure 7.5.)

Plate VI: Bidirectional ray tracing. Note the extensive caustics, an effect difficult to achieve using stochastic ray tracing. (Courtesy of F. Suykens-De Laet, Dept. of Computer Science, K. U. Leuven.) (See Figure 7.6.)

Plate VII: Metropolis Light Transport example with caustics. (Courtesy of Eric Veach.) (See Figure 7.7.)

Plate VIII: Irradiance caching example. Temple modeled by Veronica Sundstedt and Patrick Ledda. (Courtesy of Greg Ward.) (See Figure 7.8.)

Plate IX: Examples of images produced using photon mapping. Figure (a) on the left shows caustics, while Figure (b) on the right shows a scene rendered with global illumination and displacement mapping. (Courtesy of Henrik Wann Jensen.) (See Figure...

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