Visual importance-based adaptive photon tracing

Verfasser / Beitragende:
[Quan Zheng, Chang-Wen Zheng]
Ort, Verlag, Jahr:
2015
Enthalten in:
The Visual Computer, 31/6-8(2015-06-01), 1001-1010
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00371-015-1104-0  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00371-015-1104-0 
245 0 0 |a Visual importance-based adaptive photon tracing  |h [Elektronische Daten]  |c [Quan Zheng, Chang-Wen Zheng] 
520 3 |a This paper proposes an adaptive photon tracing approach based on a novel importance function, which combines visual importance and photon path visibility. The generation of photon path is guided by sampling this function to trace more photons to visible and more contributive regions. As a first step, a hierarchy of visual importance maps is constructed. Next, photon paths are produced using a new hybrid mutation strategy, which consists of large mutation and small mutation. The mutation parameter used in small mutation is automatically adjusted using the adaptive Markov chain sampling method. Meanwhile, to find a suitable initial parameter, a mutation parameter initialization method is developed. Experiments show that, compared with previous methods, this approach yields results with better visual quality and smaller numerical error. 
540 |a Springer-Verlag Berlin Heidelberg, 2015 
690 7 |a Visual importance  |2 nationallicence 
690 7 |a Adaptive photon tracing  |2 nationallicence 
690 7 |a Photorealistic rendering  |2 nationallicence 
690 7 |a Global illumination  |2 nationallicence 
700 1 |a Zheng  |D Quan  |u Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China  |4 aut 
700 1 |a Zheng  |D Chang-Wen  |u Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China  |4 aut 
773 0 |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/6-8(2015-06-01), 1001-1010  |x 0178-2789  |q 31:6-8<1001  |1 2015  |2 31  |o 371 
856 4 0 |u https://doi.org/10.1007/s00371-015-1104-0  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00371-015-1104-0  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zheng  |D Quan  |u Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zheng  |D Chang-Wen  |u Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/6-8(2015-06-01), 1001-1010  |x 0178-2789  |q 31:6-8<1001  |1 2015  |2 31  |o 371