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Related Experiment Video

Updated: Mar 24, 2026

Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing
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Viktor Kampe, Erik Sintorn, Dan Dolonius

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    This summary is machine-generated.

    We developed a faster, memory-efficient algorithm for Compact Precomputed Voxelized Shadows (CPVS). This method significantly speeds up construction and reduces memory usage for complex shadow rendering.

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    Area of Science:

    • Computer Graphics
    • Real-time Rendering
    • Computational Geometry

    Background:

    • Precomputed Voxelized Shadows (PVS) are crucial for efficient shadow rendering.
    • Existing PVS methods can be computationally expensive and memory-intensive for large scenes.

    Purpose of the Study:

    • To present a novel algorithm for generating Compact Precomputed Voxelized Shadows (CPVS).
    • To improve construction speed and reduce memory requirements of PVS data structures.
    • To enable real-time rendering of high-quality, filtered shadows for numerous local lights.

    Main Methods:

    • Implementing common sub-tree merging before node creation to optimize construction.
    • Introducing two new algorithms for merging remaining common sub-trees.
    • Proposing new rules for resolving undefined regions to reduce memory footprint.
    • Adapting the CPVS algorithm for handling multiple local lights.

    Main Results:

    • Achieved construction time improvements of several orders of magnitude.
    • Significantly reduced working memory requirements for large data structures.
    • Demonstrated the feasibility of using CPVS for hundreds of local lights.
    • Enabled real-time frame rates with high-quality, filtered shadows.

    Conclusions:

    • The proposed CPVS algorithm offers substantial improvements in speed and memory efficiency.
    • The enhancements allow for real-time rendering of complex shadow scenes with many lights.
    • CPVS is a viable technique for advanced real-time shadow rendering applications.