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Record W4324326651 · doi:10.1117/12.2648067

Dynamic three-dimensional imaging with cubic-meter-level measurement volume using multi-scale band-limited illumination profilometry

2023· article· en· W4324326651 on OpenAlexaff
Cheng Jiang, Patrick Kilcullen, Yingming Lai, Siqi Wang, T. Ozaki, Jinyang Liang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicOptical measurement and interference techniques
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsProfilometerVolume (thermodynamics)Robustness (evolution)High dynamic rangeOpticsComputer scienceScannerSystem of measurementProjection (relational algebra)Materials scienceComputer visionArtificial intelligenceDynamic rangePhysicsAlgorithmSurface roughness

Abstract

fetched live from OpenAlex

Dynamic three-dimensional (3D) surface imaging using phase-shifting fringe projection profilometry is currently driven by industrial manufacturing, archaeological inspection, and entertainment. However, existing techniques cannot simultaneously provide the robustness in solving spatially isolated 3D objects, the tolerance of large variation in surface reflectance, and the flexibility of tunable working distances with a cubic meter (m<sup>3</sup>)-level measurement volume at video rate. To overcome these limitations, we have developed multi-scale band-limited illumination profilometry (MS-BLIP). MS-BLIP implements multi-frequency fringe projection with the associated phase unwrapping, which enables robust 3D imaging of spatially isolated objects. Meanwhile, MS-BLIP adopts dual-level intensity projection to enhance its dynamic range, which allows recovering 3D information from surfaces with large reflectance variation. Moreover, MS-BLIP applies a newly developed iterative method for distortion compensation, which improves the 3D reconstruction quality over a cubic-meter-level measurement volume. Finally, a dove prism is used to adjust the orientation of the field of view, which helps MS-BLIP fit different experimental scenarios. With a measurement volume of up to 1.5 m<sup>3</sup> and a working distance of up to 2.8 m, MS-BLIP showcases the video-rate 3D surface imaging of full human-body movements.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.096
GPT teacher head0.290
Teacher spread0.193 · 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 teacher head, not a consensus.

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

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

Citations0
Published2023
Admission routes1
Has abstractyes

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