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Record W2137986388 · doi:10.1109/pccga.2002.1167881

Augmenting computer graphics with haptics for the visualization of vessel networks

2003· article· en· W2137986388 on OpenAlexaff
Dingrong Yi, Vincent Hayward

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsVisualizationComputer scienceHaptic technologyRendering (computer graphics)Computer graphicsVolume renderingComputer graphics (images)GraphicsData visualizationComputer visionTracingSet (abstract data type)Virtual realityHuman–computer interactionArtificial intelligence

Abstract

fetched live from OpenAlex

Current visualization methods of volume angiograms are limited in their ability to display vessel connectivity and depth information readily available in the data set. In this paper, we introduce a hybrid graphic-haptic display technique that allows visualizing vessel connectivity as well as provides user assistance in tracing vessel branches. Most importantly, our display provides three-dimensional shape cues in both visual and haptic domains that eliminate the need for a rotational display for 3D perception. Issues related to haptic rendering, implementation, and experimental validation of the developed system are reported. This proposed multimodal visualization approach is independent of the devices used and can be applied to current visualization platforms for angiograms due to the small computational load it requires.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.129

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.216
Teacher spread0.203 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations8
Published2003
Admission routes1
Has abstractyes

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