Product Personalization Using 3D Parametric Face Models: An Example of the Eyeglass Frame Design

Abstract

Personalized design enhances the values added by a product or service by satisfying individual customer requirements. It has become a trend in consumer product development nowadays. This paper proposes a method for design personalization of the eyeglasses frame using anthropometric data. Three-dimensional face models were constructed using non-contact scanning devices. Principal Component Analysis (PCA) was applied to reduce the data complexity while preserving sufficient data variance. Kriging based parametric models correlate the mesh point coordinates of a face model to a set of feature parameters. The correlation allows synthesizing and controlling 3D facial geometry approximating to individual users with given parameter values. Rendering the synthesized geometry with human face images generates realistic face models. These models not only allow adjusting the frame design in real-time, but also evaluating whether or how the design style fits individual face characteristics. This study enhances the practical values of 3D anthropometric data by realizing the concept of human-centric design.

3D Printing Smart Eyeglass Frames: A Review

“…The findings demonstrate how the algorithm enhanced the design by utilizing big, collected data. The data collection for the eyeglass frame shows that there also is a strong relationship between the optimum design and users’ facial features in terms of cultural comfort. , …”

“…The data collection for the eyeglass frame shows that there also is a strong relationship between the optimum design and users' facial features in terms of cultural comfort. 188,189 9. FUNDAMENTAL LIMITATIONS 3D printing of complex samples with intricate features is an intensive design process and involves usage of expensive materials.…”