TITLE:
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Real-Time Rendering of Fur Applied Over Arbitrary Three-Dimensional Meshes 
Obtained From Real World Objects.


ABSTRACT:
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This work focus on the problem of automatic applying fur over arbitrary meshes 
without human interaction. We propose a new algorithm to generate and apply fur 
over arbitrary meshes extracted from real world objects based on environment 
mapping. Our algorithm was tested with four different high detailed meshes 
from the Stanford scanning repository. In addition, we also tested our 
algorithm using three different levels of detail generated from each of the 
original meshes evaluated. Based on our results we can demonstrate that our 
approach is robust and could be applied to arbitrary meshes with high and low 
geometry complexity.

The environment created for fur rendering allows us to modify any parameter 
relative to the fur generation, such as height, thickness, density and color; 
or any parameter relative to the fur rendering, such as camera, light, number 
of layers) in real time.