Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Real-time Quadtree Analysis using HistoPyramids

Ziegler, G., Dimitrov, R., Theobalt, C., & Seidel, H.-P. (2007). Real-time Quadtree Analysis using HistoPyramids. In N. Kehtarnavaz, & M. F. Carlsohn (Eds.), Real-Time Image Processing 2007 (pp. 1-11). Bellingham, WA, USA: SPIE.

Item is

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Ziegler, Gernot1, Autor           
Dimitrov, Rouslan, Autor
Theobalt, Christian1, 2, Autor           
Seidel, Hans-Peter1, Autor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Region quadtrees are convenient tools for hierarchical image analysis. Like the related Haar wavelets, they are simple to generate within a fixed calculation time. The clustering at each resolution level requires only local data, yet they deliver intuitive classification results. Although the region quadtree partitioning is very rigid, it can be rapidly computed from arbitrary imagery. This research article demonstrates how graphics hardware can be utilized to build region quadtrees at unprecedented speeds. To achieve this, a data-structure called HistoPyramid registers the number of desired image features in a pyramidal 2D array. Then, this HistoPyramid is used as an implicit indexing data structure through quadtree traversal, creating lists of the registered image features directly in GPU memory, and virtually eliminating bus transfers between CPU and GPU. With this novel concept, quadtrees can be applied in real-time video processing on standard PC hardware. A multitude of applications in image and video processing arises, since region quadtree analysis becomes a light-weight preprocessing step for feature clustering in vision tasks, motion vector analysis, PDE calculations, or data compression. In a sidenote, we outline how this algorithm can be applied to 3D volume data, effectively generating region octrees purely on graphics hardware.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2008-03-182007
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: Bellingham, WA, USA : SPIE
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 356610
DOI: 10.1117/12.703089
Anderer: Local-ID: C12573CC004A8E26-31C1456C0CD2DA4BC1257209007E4F1D-ZTDS2005
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: Untitled Event
Veranstaltungsort: San Jose, USA
Start-/Enddatum: 2007-01-28 - 2007-02-01

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Real-Time Image Processing 2007
Genre der Quelle: Konferenzband
 Urheber:
Kehtarnavaz, Nasser, Herausgeber
Carlsohn, Matthias F., Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Bellingham, WA, USA : SPIE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1 - 11 Identifikator: ISBN: 9780819466099

Quelle 2

einblenden:
ausblenden:
Titel: SPIE
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: -