A Data-Mining Approach to 3D Realistic Render Setup Assistance

Morcillo, Carlos Gonzalez (University of Castilla-La Mancha) | Lopez, Lorenzo Manuel Lopez (University of Castilla-La Mancha) | Sanchez, Jose Jesus Castro (University of Castilla-La Mancha) | Moser, Bernhard (Software Competence Center GmbH)

AAAI Conferences 

Realistic rendering is the process of generating a 2D image from an abstract description of a 3D scene, aiming at achieving the quality of a photo. The quality of the generated image depends on the accuracy with which the employed render method simulates the behaviour of the light particles through the scene. According to the current practice, it is up to the user to choose optimal settings of input parameters for these methods in terms of time-efficiency, as well as image quality. This is an iterative trial and error process, even for expert users. This paper describes a novel approach based on techniques from the field of data mining and genetic computing to assist the user in the selection of render parameters. Experimental results are presented which show the benefits of this approach.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found