MétaCan
Menu
Back to cohort
Record W2392153645

3D Shape Measurement Based on Digital Speckle Shearing Interferometry

2014· article· en· W2392153645 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

VenueBandaoti guangdian · 2014
Typearticle
Languageen
FieldComputer Science
TopicOptical measurement and interference techniques
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsOpticsSpeckle patternShearing (physics)Shearing interferometerInterferometryElectronic speckle pattern interferometrySpeckle imagingReference beamMaterials sciencePhysicsAstronomical interferometer
DOInot available

Abstract

fetched live from OpenAlex

Based on the principles of digital speckle shearing interferometry,the technique for measuring 3Dshape of an object was studied.For the method,the speckle field of the object light beam was deflected by inclining mirror and the speckle fields before and after mirror inclining were recorded by CCD.It substituted traditional special interference fringe obtained directly by using shearing element and reduced the energy loss of the object light beam caused by shearing element.MATLAB software was used to make precise control on the parallel and directional shifting of the speckle shearing interference fringes,then 4interferograms were obtained and four-step digital phase shifting was realized.Traditional mechanical shifting technology with phase controller in reference light beam was substituted and 3D shape measurement was realized.This method omitted the chemical processing of photographic film, and hardwares such as piezoelectric translator were unnecessary.Experimental results show that not only the testing system and experimental process are simplified,but the measurement precision is improved to be up to 1/10wavelength.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.041
GPT teacher head0.241
Teacher spread0.200 · 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