AN ONLINE DESIGN OF EXPERIMENTS FOR OPTIMIZING HUMAN PERCEPTION ON VIRTUAL GARMENTS

摘要

In virtual reality-based 3D garment design, one important issue is to minimize the perceptual gap between real and virtual products in their static and dynamic representations so that they can be considered as the same by both designers and consumers. In this paper, we present a new method of online experimental design for quickly controlling human perception on virtual garments towards real products within a very few number of sensory tests. For each real product, this method uses the uniform design to generate the initial virtual fabrics then the principle of online active learning to sequentially create new virtual samples according to the evaluated similarity degrees of previous samples related to the real product. The proposed design of experiments will permit to identify the optimal values of the design parameters corresponding to the desired fabric. The criterion of data sensitivity is used to determine the most relevant design parameter on which we will enhance searches in the following step.