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Record W3008831541 · doi:10.1117/12.2543247

Structured-light systems using a programmable quasi-analogue projection subsystem

2020· article· en· W3008831541 on OpenAlex
Marc-Antoine Drouin, Guy Godin, Michel Picard, Jonathan Boisvert, Louis-Guy Dicaire

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 institutionsNational Research Council Canada
Fundersnot available
KeywordsComputer scienceFrame (networking)Digital Light ProcessingProjection (relational algebra)Digital micromirror deviceFrame rateStructured lightBinary numberStructured-light 3D scannerSine waveComputer visionComputer graphics (images)Point (geometry)SineArtificial intelligenceOpticsMathematicsAlgorithmPhysicsTelecommunicationsProjector

Abstract

fetched live from OpenAlex

This paper presents two structured-light 3D imaging systems that use a quasi-analogue projection subsystem based on a combination of digital micromirror device (DMD), optics, digital processing and calibration procedure. The first system is a high-resolution prototype that acquires 12M 3D point per frame; the second one is a high-speed prototype that generates 150 3D frames per second, with 2M 3D points per frame. The projection subsystem can produce high frame rates, high contrast and high resolution patterns using off-the-shelf components. The structured light patterns used are the same combination of binary and sine wave fringes as those usually encountered in commercial systems. The proposed systems generate the sine wave patterns using a single binary image, thereby exploiting the high frame rate of the DMD.

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 score0.896
Threshold uncertainty score0.632

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 head0.033
GPT teacher head0.239
Teacher spread0.206 · 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
Published2020
Admission routes1
Has abstractyes

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