Grouped photon mapping |
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Authors: | Lieu-Hen Chen Tsung-Chih Tsai Yu-Sheng Chen |
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Affiliation: | (1) Computer Science Department, University of California, Boelter Hall 4531-F, Los Angeles, 90095-1596, CA, USA |
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Abstract: | This paper proposes a novel architecture called Grouped Photon Mapping, which combines standard photon mapping with the light-beam
concept to improve the nearest-neighbor density estimation method. Based on spatial coherence, we cluster all of photons,
which are deposited in the photon map, into different beam-like groups. Each group of photons is individually stored in an
isolated photon map. By the distribution of the photons in each photon map, we construct a polygonal boundary to represent
a beam-like illuminated area. These boundaries offer a more accurate and flexible sampling area to filter neighbor photons
around the query point. In addition, by a level of detail technique, we can control the photon-count in each group to obtain
a balance between biases and noise. The results of our experiments prove that our method can successfully reduce bias errors
and light leakage. Especially, for complicated caustic effects through a gemstone-like object, we can render a smoother result
than standard photon mapping. |
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