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Cited by 666

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Surface splatting

Open access
Zwicker, Matthias, Pfister, Hanspeter, van Baar, Jeroen, Gross, Markus·2001·Proceedings of the 28th annual conference on Computer graphics and interactive techniques

Abstract

Modern laser range and optical scanners need rendering techniques that can handle millions of points with high resolution textures. This paper describes a point rendering and texture filtering technique called surface splatting which directly renders opaque and transparent surfaces from point clouds without connectivity. It is based on a novel screen space formulation of the Elliptical Weighted Average (EWA) filter. Our rigorous mathematical analysis extends the texture resampling framework of Heckbert to irregularly spaced point samples. To render the points, we develop a surface splat primitive that implements the screen space EWA filter. Moreover, we show how to optimally sample image and procedural textures to irregular point data during pre-processing. We also compare the optimal algorithm with a more efficient view-independent EWA pre-filter. Surface splatting makes the benefits of EWA texture filtering available to point-based rendering. It provides high quality anisotropic texture filtering, hidden surface removal, edge anti-aliasing, and order-independent transparency.

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Crossref · 10.1145/383259.383300

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Metadata

Authors
Zwicker, M., Pfister, H., van Baar, J., & Gross, M.
Venue
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Publisher
ACM
Published
2001-08
Pages
371-378
OpenAlex
W2293372129
Cited by
666
References
13
FWCI
23.86
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Surface splatting. https://app.cochat.ai/papers/10.1145/383259.383300
The paper
Zwicker, M., Pfister, H., van Baar, J., & Gross, M. (2001). Surface splatting. Proceedings of the 28th annual conference on Computer graphics and interactive techniques. https://doi.org/10.1145/383259.383300

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.