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Record W4394969789 · doi:10.1117/12.3020308

End-to-end simulation process in lens design software for integral imaging-based 3D light field displays evaluation

2024· article· en· W4394969789 on OpenAlex
Sédick Rabia, Guillaume Allain, Simon Thibault

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
TopicAdvanced Optical Imaging Technologies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsComputer scienceLens (geology)Process (computing)SoftwareField (mathematics)Light fieldEnd-to-end principleComputer hardwareComputer graphics (images)OpticsOperating systemArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

Currently, three-dimensional (3D) light field displays (LFDs) based on integral imaging (InIm) are one of the most interesting technologies in the field of 3D displays. The InIm principle consists of two key stages: the capture and reconstruction of the light field describing a specific 3D scene. However, these stages represent two distinct processes requiring different tools and resources, making the evaluation of InIm-based 3D LFDs a laborious and time consuming task. To address those problems, we propose an end-to-end simulation model developed in the commercial lens design software Ansys Zemax OpticStudio, that integrates the two stages of the InIm to facilitate the evaluation of the entire 3D image formation process. This work aims to provide a preliminary solution by ensuring that the targeted specifications are checked and achieved before embarking on the development of a costly and time-consuming prototype.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.030
GPT teacher head0.327
Teacher spread0.297 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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