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Dynamic Shadow Synthesis Using Silhouette Edge Optimization

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Advances in Computer Graphics (CGI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13002))

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Abstract

The shadow volume is utilized extensively for real-time rendering applications which includes updating volumes and calculating silhouette edges. Existing shadow volume methods are CPU intensive and complex occluders result in poor rendering efficiency. In this paper, we propose a hash-culling shadow volume algorithm that uses hash-based acceleration for the silhouette edge determination which is the most time-consuming processing in the traditional shadow volume algorithm. Our proposed method uses a hash table to store silhouette edge index information and thus reduces the time taken for redundant edge detection. The method significantly reduces CPU usage and improves algorithm time efficiency. Furthermore, for low hardware-level systems, especially embedded systems, it is still difficult to render dynamic shadows due to their high demand on the fill-rate capacity of graphics hardware. Our method has low hardware requirements and is easy to implement on PCs and embedded systems with real-time rendering performance with visual-pleasing shadow effects.

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China under Grants 62077037 and 61872241, in part by Shanghai Municipal Science and Technology Major Project under Grant 2021SHZDZX0102, in part by the Science and Technology Commission of Shanghai Municipality under Grants 18410750700 and 17411952600, in part by Shanghai Lin-Gang Area Smart Manufacturing Special Project under Grant ZN2018020202-3, and in part by Project of Shanghai Municipal Health Commission(2018ZHYL0230).

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Correspondence to Bin Sheng or Lijuan Mao .

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Wang, J. et al. (2021). Dynamic Shadow Synthesis Using Silhouette Edge Optimization. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2021. Lecture Notes in Computer Science(), vol 13002. Springer, Cham. https://doi.org/10.1007/978-3-030-89029-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-89029-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89028-5

  • Online ISBN: 978-3-030-89029-2

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