Naslov
Impact of 3D graphic structure complexity to the rendering time

Autori
Skala, Tibor ; Skala, Karolj ; Afgan, Enis

Izvornik
Journal of circuits systems and computers (0218-1266) 22 (2013), 7; 1350057, 10

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
image complexity ; space frequency ; 3D rendering ; rendering time ; ray tracing Read More: http://www.worldscientific.com/doi/abs/10.1142/S0218126613500576

Sažetak
The paper presents new approach to the analysis of the time required for rendering, depending on the complexity of the 3D object. Ray tracing is used to measure program complexity measure parameter based on the rendering time. Parametric analysis using ray tracing program is achieved by correlation between image parameters and rendering time. Electronic imaging and image processing (rendering) are considered in the 3D virtual photorealistic imaging design and electronic imaging creation and optimization. We are attempting to treat the complexity as a measure in the process of creating and rendering a complex image. The work is directed towards defining and optimizing the rendering time in the photorealistic 3D image creation process. The correlation between large numbers of image components obtained by the ray tracing program is used to measure the scene complexity regarding of render time. To discover which space variable to use as complexity measure, we cross-correlated variables output by ray tracing program, keeping track of the maximum values. Based on this method, the highest correlation was observed on variable Bounding box succeeded tests, and that way obtained the complexity measure for the image. That way the original research is performed in creating analytical (data-visual) methods for determining the image rendering parameters. The results based on experimental verification on a large number of performed standard tests on real sets of graphical contents, and established the impact of graphical content complexity to the rendering time at distributed cluster computing systems.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

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