MétaCan
Menu
Back to cohort
Record W2102638408 · doi:10.1109/have.2003.1244718

Augmented reality: a novel approach for navigating in panorama-based virtual environments (PBVE)

2004· article· en· W2102638408 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotics and Sensor-Based Localization
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPanoramaAugmented realityComputer scienceVirtual realityComputer graphics (images)Human–computer interactionComputer visionArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents a novel approach for navigating in a panorama-based virtual environment (PBVE). A PBVE was constructed to synthesize the corresponding view when navigating. Users can interact with PBVE through augmented 3D graphic objects. Unlike traditional image-based virtual environment (VE) systems in which the functions of presenting 3D geometry and human-computer interaction (HCI) are very limited, the proposed PBVE system utilized augmented reality technology to enable users to interactively present 3D geometry. Therefore, the HCI ability is significantly increased and the gap between passive planar navigation and interactive human-VE three-dimensional navigation is eliminated.

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.

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 score0.862
Threshold uncertainty score0.589

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 head0.020
GPT teacher head0.231
Teacher spread0.211 · 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

Quick stats

Citations9
Published2004
Admission routes1
Has abstractyes

Explore more

Same topicRobotics and Sensor-Based LocalizationFrench-language works237,207