Adaptive mesh simplification using distance to focus of attention for multiple points of view

Multiresolution modelling has been widely accepted as a good approach in order to reach a compromise between quality and performance in the rendering of complex geometries. Adaptive simplification techniques that preserve visually outstanding features have also been explored. However, the presence of external factors, such as lights or movement, may also influence visual attention. The goal of this paper is to present a technique based on Distance Transforms that allows to classify the mesh's elements according to their proximity to the focus of attention, and to make use of this information for weighting the approximation error which will be tolerated during the mesh simplification process. The approach followed in this work precomputes the correspondence between image pixels and mesh's elements for a given set of points of view performing correspondence estimates for other points of view. The results achieved so far show the feasibility of the proposed approach.