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Record W2767439022 · doi:10.5121/ijcga.2017.7401

ICVG : Practical Constructive Volume Geometry for Indirect Visualization

2017· article· en· W2767439022 on OpenAlexaff
Mark John Weder Laprairie, Howard J. Hamilton, Andrew Geiger

Bibliographic record

VenueInternational Journal of Computer Graphics & Animation · 2017
Typearticle
Languageen
FieldComputer Science
TopicComputer Graphics and Visualization Techniques
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsGeometryConstructiveVisualizationVolume (thermodynamics)Computer scienceConstructive solid geometryComputer graphics (images)Engineering drawingMathematicsEngineeringArtificial intelligencePhysicsProgramming language

Abstract

fetched live from OpenAlex

The task of creating detailed three dimensional virtual worlds for interactive entertainment software can be simplified by using Constructive Solid Geometry (CSG) techniques. CSG allows artists to combine primitive shapes, visualized through polygons, into complex and believable scenery. Constructive Volume Geometry (CVG) is a super-set of CSG that operates on volumetric data, which consists of values recorded at constant intervals in three dimensions of space. To allow volumetric data to be integrated into existing frameworks, indirect visualization is performed by constructing and visualizing polygon meshes corresponding to the implicit surfaces in the volumetric data. The Indirect CVG (ICVG) algebra, which provides constructive volume geometry operators appropriate to volumetric data that will be indirectly visualized is introduced. ICVG includes operations analogous to the union, difference, and intersection operators in the standard CVG algebra, as well as new operations. Additionally, a series of volumetric primitives well suited to indirect visualization is defined.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0020.003
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.369
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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