An Interpolated Volume Data Model

Summary: Models volumetric data as a continuous function over an interpolated internal grid, rather than as discrete voxels. Enables more accurate queries while preventing grid-induced topological artifacts, including disappearing holes and spurious component connectivity. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 9263
Venue: VLDB
Year: 2003
Pagerank: 5.093636e-05
Overall Rank: 12,830 | 11.98%
DOI: 10.1016/B978-012722442-8/50120-8

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Tianqiu Wang (University of California San Diego)
2. Simone Santini (National Center for Biomedical Research; University of California San Diego)
3. Amarnath Gupta (San Diego Supercomputer Center; University of California San Diego)

BibTeX Citation

@article{wang_vldb03,
        title = {{An Interpolated Volume Data Model}},
        author = {Wang, Tianqiu and Santini, Simone and Gupta, Amarnath},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50120-8},
        url = {https://doi.org/10.1016/B978-012722442-8/50120-8},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
2,335	A Language for Manipulating Arrays	1997	VLDB	8.7304507e-05
3,427	Manipulating Interpolated Data is Easier than You Thought	2000	VLDB	7.4216005e-05

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