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Record W1938863948 · doi:10.1109/cira.2001.1013224

Local surface reconstruction of orbital objects

2002· article· en· W1938863948 on OpenAlex
A. Ripsman, Michael Jenkin

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSatellite Image Processing and Photogrammetry
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpecular reflectionStandard illuminantComputer visionComputer scienceArtificial intelligenceSurface (topology)Object (grammar)Computer graphics (images)Space (punctuation)StereopsisOpticsPhysicsGeometryMathematics

Abstract

fetched live from OpenAlex

Describes the development of a fixed vision system which can recover the local surface structure of highly specular objects. The system utilizes a commercial trinocular stereo vision system and a low-power two-dimensional illuminant. The local surface structure of an object is obtained by projecting coded light patterns onto the object. As many objects are neither fully specular nor fully diffuse, the statistical method of mixture models is used to divide an object into specular and diffuse components in order to recover local surface structure from both specular and diffuse regions. The system was originally designed to assist in the in situ repair and maintenance of man-made orbital objects. One of the key challenges facing computer vision systems used in space is the presence of specular surfaces on virtually all man-made orbital objects. Because it was designed to be used in outer space, the system was designed to operate without traditional high-powered illuminants, such as laser beams, whose radiation can interfere with sensitive space instruments. While the system was designed to operate in outer space, it offers many other practical non-space applications.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.493

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 head0.012
GPT teacher head0.196
Teacher spread0.184 · 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