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New Methods to Project Panoramas for Practical and Aesthetic Purposes

2007· article· en· W1598383185 on OpenAlex
Daniel M. Germán, Pablo d’Angelo, Michael D. Gross, Bruno Postle

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

VenueEurographics · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPanoramaComputer graphics (images)Computer sciencePoint (geometry)Projection (relational algebra)Representation (politics)Computer visionMap projectionDistortion (music)Artificial intelligenceVirtual realityField (mathematics)

Abstract

fetched live from OpenAlex

Recent advances in digital photomontage have simplified the creation of extreme wide-angle views from a vantage point, including the recreation of the entire sphere (we will refer to these type of images as panoramas). In order to minimize the distortion from the point of view of the viewer, panoramas have been typically presented using curved displays (such as the original panoramas, by Barker, in 1787; or several cinematographic systems, such as Circle-Vision 360, still in use), and more recently with the help of the computer (such as the QuickTime VR format). Unfortunately requiring such systems restricts their use, and little research has been done in the representation of panoramas into a flat surface. In this paper we propose the use of several geographic map projections to project a panorama into a flat surface, both for realistic purposes (where the projection can be easily accepted as a faithful representation of the original image) and for artistic purposes (where the projection is used as an artistic tool intended for the creation of an innovative interpretation of the panorama). Finally we explore the use of inclinometers and map projections to automatically project an image from a wide-angle lens (rectilinear or fisheye) into a new image that is more aesthetically pleasant. We believe the projections discussed in this paper will be useful to photographers, artists, and the designers of virtual reality environments, all of who might require the displaying of images with a wide field-of-view.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.973
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
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 head0.071
GPT teacher head0.465
Teacher spread0.393 · 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