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IEEE Computer Graphics and Applications
Article . 2026 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2025
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2026
Data sources: DBLP
DBLP
Preprint . 2025
Data sources: DBLP
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Computational Design and Fabrication of Protective Foam

Authors: Tsukasa Fukusato; Naoki Kita;

Computational Design and Fabrication of Protective Foam

Abstract

This paper proposes a method to design protective foam for packaging 3D objects. Users first load a 3D object and define a block-based design space by setting the block resolution and the size of each block. The system then constructs a block map in the space using depth textures of the input object, separates the map into two regions, and outputs the regions as foams. The proposed method is fast and stable, allowing the user to interactively make protective foams. The generated foam is a height field in each direction, so the foams can easily be fabricated using various materials, such as LEGO blocks, sponge with slits, glass, and wood. This paper shows some examples of fabrication results to demonstrate the robustness of our system. In addition, we conducted a user study and confirmed that our system is effective for manually designing protective foams envisioned by users.

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Keywords

FOS: Computer and information sciences, Computer Science - Graphics, Graphics (cs.GR)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green