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Record W2086738927 · doi:10.1145/2614066.2614090

Visualizing light transport phenomena with a primal-dual coding video camera

2014· article· en· W2086738927 on OpenAlexaff
Matthew O’Toole, Kiriakos N. Kutulakos

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicComputer Graphics and Visualization Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer visionArtificial intelligenceComputer scienceCoding (social sciences)Structured lightRayThree-CCD cameraComputer graphics (images)Image sensorVideo cameraCamera auto-calibrationOpticsPhysicsCamera resectioningMathematics

Abstract

fetched live from OpenAlex

We present a primal-dual coding video camera, an optical device that captures video in which the flow of light through a scene has been manipulated. This camera has the ability to visualize indirect transport effects (caustics, inter-reflections, volumetric scattering, etc.), measure direct-only light paths (surface reflections), capture transport that occurs within specific regions of 3D space, and perform structured light imaging in the presence of complex indirect effects. The operating principle behind this technology is to simultaneously code the light that goes into a scene with the light that comes out. Specifically, over the course of a single camera exposure period, we project a sequence of light patterns onto the scene in lockstep with a second sequence of mask patterns that modulates the light incident on the camera sensor. This optical procedure creates RAW, unprocessed photos where a scene's light transport function appears to have changed.

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)0.000
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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