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Record W2032877341 · doi:10.3169/mta.2.217

[Paper] Real-time Anisotropic Reflectance Rendering of Noh-Costume with Bonfire Flickering Effect

2014· article· en· W2032877341 on OpenAlexaff
Yasuhiro Nishiwaki, Wataru Wakita, Hiromi T. Tanaka

Bibliographic record

VenueITE Transactions on Media Technology and Applications · 2014
Typearticle
Languageen
FieldComputer Science
TopicComputer Graphics and Visualization Techniques
Canadian institutionsIntecsea (Canada)
Fundersnot available
KeywordsBidirectional reflectance distribution functionRendering (computer graphics)Computer graphics (images)ArtComputer scienceReflectivityReal-time renderingVisual artsOpticsPhysics

Abstract

fetched live from OpenAlex

Noh is a traditional Japanese performing arts registered in the UNESCO intangible cultural heritage. The tradition of the Takigi O-Noh, or outdoor firelight Noh on the summer nights, dates back over a thousand years to performances associated with the religious ceremonies. In the Takigi O-Noh, Noh costumes of gold brocades shines and flickers beautifully with torches set around the Noh stage that provide the illumination. In this paper, we propose a real-time anisotropic BTF rendering method of Noh-costume under dynamic lighting with bonfire flickering effect, in the Takigi O-Noh lighting environment. First, we model the anisotropic reflectance of the Noh costume of gold brocades with the bidirectional texture function (BTF), which extended the Ashikhmin’s bidirectional reflectance distribution function (BRDF) model. Then, we represent the bonfire flame by procedural texture as dynamic ambient map, which enable to perform the same calculation as direct calculation from environment map with filtered importance sampling.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.005
GPT teacher head0.239
Teacher spread0.234 · 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 designTheoretical or conceptual
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

Citations1
Published2014
Admission routes1
Has abstractyes

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