Multi-Feature Metric-Guided Mesh Simplification

Abstract

This paper proposes a multi-feature metric-guided mesh simplification algorithm, to preserve the crucial visual feature information for simplified model, to solve some mesh simplification algorithms generate poor quality at low levels of detail. Our algorithm is an extended quadric error metrics based on geometric and visual characteristics. The proposed method does not increase the computing time associated with original data and model shape analysis. Moreover, it can preserve the shape features of the models in the processing of simplification. The results of our algorithm have been compared execution time and visual quality with other mesh simplification algorithms, and the results show that our algorithm improved visual shape features for simplified model and got a good quality without additional computing time.