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Usability of Digital Cameras for Verifying Physically Based ...

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Figure 19: (a) A schematic <strong>of</strong> the diffuse patch reflection test case; (b) Comparison<br />

<strong>of</strong> the measured illuminance with the results <strong>of</strong> the photon map and Radiance<br />

[SW04].<br />

photon map calculations is shown in figure 19b. The vertical bars in the measured<br />

data indicate the sensor tolerance. It can be seen that the curves fit quite well. The<br />

average deviation <strong>for</strong> Radiance is 3%, while it is 2% <strong>for</strong> the photon map.<br />

For the case study involving caustics, the aluminium light shelf was moun-<br />

ted on the outside <strong>of</strong> the window in order to create a caustic directed toward the<br />

ceiling. The accurate simulation <strong>of</strong> this effect was possible with both rendering<br />

algorithms, though the calculations <strong>of</strong> Radiance were slightly more noisy than the<br />

ones <strong>of</strong> the photon map algorithm. This is also reflected in the average deviations,<br />

which are 7% <strong>for</strong> Radiance and only 2% <strong>for</strong> the photon map.<br />

The third case study that is described in the paper is a generalization <strong>of</strong> the<br />

diffuse patch reflection case and there<strong>for</strong>e a compound case study. The whole<br />

interior <strong>of</strong> the box was covered with light gray molleton. The BRDF data had to<br />

be corrected because the molleton parts were from different consignments. After<br />

this adjustment, the average deviations were 1% <strong>for</strong> Radiance and 2% <strong>for</strong> photon<br />

map.<br />

Similar results were achieved <strong>for</strong> the fourth test case, a combination <strong>of</strong> the<br />

light shelf caustic and the diffuse interreflection. Due to the correction <strong>of</strong> the<br />

BRDF data, deviations averaged 1% and 2%, <strong>for</strong> Radiance and the photon map<br />

respectively.<br />

Both algorithms per<strong>for</strong>med well and the relative deviations were consistently<br />

within the estimated error margins. Nonetheless, this setup can only be used <strong>for</strong><br />

point samples but not <strong>for</strong> other purposes as <strong>for</strong> instance <strong>for</strong> verifying the exact<br />

26

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