Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
 
 
DownloadE-Mail
 Lokale TagsFreigabegeschichteDetailsÜbersicht
  Progressive Path Tracing with Lightweight Local Error Estimation

Dmitriev, K., & Seidel, H.-P. (2004). Progressive Path Tracing with Lightweight Local Error Estimation. In B. Girod, M. A. Magnor, & H.-P. Seidel (Eds.), Vision, modeling, and visualization 2004 (pp. 249-254). Berlin, Germany: Akademische Verlagsgesellschaft Aka.

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2B05-C Versions-Permalink: https://hdl.handle.net/21.11116/0000-000F-17E0-A
Genre: Konferenzbeitrag

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Dmitriev, Kirill1, Autor
Seidel, Hans-Peter2, Autor                 
Affiliations:
1Max Planck Society, ou_persistent13              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Adaptive sampling techniques typically applied in path tracing are not
progressive. The reason is that they need all the samples used to compute
pixel color for error estimation. Thus progressive computation would need
to store all the samples for all the pixels, which is too expensive.
Absence of progressivity is a big disadvantage of adaptive path tracing
algorithms because a user may become aware of some unwanted effects on the
image only after quite significant time. We propose a new estimate of local
error in path tracing. The new technique happens to be lightweight in terms
of both memory and execution time and lends itself very well to
progressivity. Also, even thought perceptual error metric is used, it
allows changes of any tone mapping parameters during the course of
computation. In this case none of the previous effort is lost, error
distribution is immediately updated and used for refining the solution.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2005-05-302004
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 232047
Anderer: Local-ID: C125675300671F7B-80DB4106BB068C02C1256F5E004741EF-dmitrie04ppt
BibTex Citekey: Dmitriev-Seidel_VMV04
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: 9th International Fall Workshop on Vision, Modeling, and Visualization
Veranstaltungsort: Stanford, CA, USA
Start-/Enddatum: 2004-11-16 - 2004-11-18

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Vision, modeling, and visualization 2004
  Kurztitel : VMV 2004
Genre der Quelle: Konferenzband
 Urheber:
Girod, Bernd1, Herausgeber
Magnor, Marcus A.2, Herausgeber           
Seidel, Hans-Peter3, Herausgeber                 
Affiliations:
1 External Organizations, ou_persistent22            
2 Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549            
3 Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047            
Ort, Verlag, Ausgabe: Berlin, Germany : Akademische Verlagsgesellschaft Aka
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 249 - 254 Identifikator: ISBN: 3-89838-058-0