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|a 10.1109/TVCG.2022.3203089
|2 doi
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|a eng
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| 100 |
1 |
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|a Shi, Xuehuai
|e verfasserin
|4 aut
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| 245 |
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|a Foveated Stochastic Lightcuts
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|c 2022
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|a ƒaComputermedien
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|a Date Revised 24.10.2022
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Foveated rendering provides an idea for accelerating rendering algorithms without sacrificing the perceived rendering quality in virtual reality applications. In this paper, we propose a foveated stochastic lightcuts method to render high-quality many-lights illumination effects in high perception-sensitive regions. First, we introduce a spatiotemporal-luminance based lightcuts generation method to generate lightcuts with different accuracy for different visual perception-sensitive regions. Then we propose a multi-resolution light samples selection method to select the light sample for each node in the lightcuts more efficiently. Our method supports full-dynamic scenes containing over 250k dynamic light sources and dynamic diffuse/specular/glossy objects. It provides frame rates up to 110fps for high-quality many-lights illumination effects in high perception-sensitive regions of the HVS in VR HMDs. Compared with the state-of-the-art stochastic lightcuts method using the same rendering time, our method achieves smaller mean squared errors in the fovea and periphery. We also conduct user studies to prove that the perceived quality of our method has a high visual similarity with the results of the ground truth rendered by using the stochastic lightcuts with 2048 light samples per pixel
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|a Journal Article
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| 700 |
1 |
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|a Wang, Lili
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wu, Jian
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Fan, Runze
|e verfasserin
|4 aut
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| 700 |
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|a Hao, Aimin
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 28(2022), 11 vom: 01. Nov., Seite 3684-3693
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|g volume:28
|g year:2022
|g number:11
|g day:01
|g month:11
|g pages:3684-3693
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|u http://dx.doi.org/10.1109/TVCG.2022.3203089
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