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Record W2114132533 · doi:10.1364/ao.47.001585

Metameric interference security image structures

2008· article· en· W2114132533 on OpenAlexaff
Bill Baloukas, L. Martinů

Bibliographic record

VenueApplied Optics · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicColor Science and Applications
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsOpticsInterference (communication)Computer scienceFilter (signal processing)Reflection (computer programming)Sensitivity (control systems)Viewing angleComputer visionArtificial intelligenceColoredMaterials sciencePhysicsElectronic engineeringTelecommunications

Abstract

fetched live from OpenAlex

We study innovative interference security image structures based on metamerism. We have designed, fabricated, and evaluated different structures that can be used in transmission or in reflection. These metameric structures are either a combination of two different interference filters or of an interference filter and a noniridescent colored material. In the latter case, by closely matching the spectra, the sensitivity of the device to changes in light sources and observers is minimized. Because of the intrinsic color shift of interference filters, one can create a hidden image that appears at a specific observation angle. The presence of the hidden image, as well as in some cases of the noniridescent material, which serves as a color reference, increases the complexity of such devices while facilitating the user's authentication process as well as automatized detection by using a laser at a specific angle. We present the design approach, analyze the filters' sensitivity to deposition errors, and evaluate the performance of prototype devices prepared by dual ion beam sputtering.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.248
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations27
Published2008
Admission routes1
Has abstractyes

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