DocumentCode :
2725180
Title :
In-situ Quantification of 3D Scene Complexity
Author :
Bilasco, Ioan Marius ; Espinosa, Rafael Lozano ; Martin, Hervé
Author_Institution :
LIG, St. Martin d´´Heres
fYear :
2009
fDate :
1-7 Feb. 2009
Firstpage :
34
Lastpage :
39
Abstract :
This work explores the quantification of the complexity of 3D scenes using frame rate evaluation. Viewpoints are dynamically generated and binded to the target scene in order to reproduce real user actions inside the scene. The SAI technology is used in order to record the observed frame rate. Several evaluation patterns are considered: examine an object, look at the center of the scene, look around a given point. This kind of information is very important because it shows 3D authors, if a specific 3D scene can be played adequately or not for a range of browsers. Indeed, this measure could be used to indicate whether adaptation techniques are to be considered before deploying a scene in a specific context. Authors can also yield interesting results for the designers. Low frame rates and hence high complexity in regions that lack of interest for target users imply possible design faults.
Keywords :
data visualisation; virtual reality; 3D scene complexity; frame rate evaluation; in-situ quantification; Cities and towns; Geographic Information Systems; Geometry; Home computing; Layout; Personal digital assistants; Robots; Runtime; Size measurement; Switches; 3D data; 3D visualization; contents adaptation; multimedia data; virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Geographic Information Systems & Web Services, 2009. GEOWS '09. International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3363-6
Electronic_ISBN :
978-0-7695-3527-2
Type :
conf
DOI :
10.1109/GEOWS.2009.37
Filename :
4782688
Link To Document :
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