Template-Based 2D High-Precision Model Reconstruction of Car Body

Abstract

Car body design includes the construction of car sketches, 2D models and 3D models. The establishment of high-quality car body models usually relies on CAD software, which requires the proficient operating skills, and the efficiency is relatively low compared with automatic modeling. If the model engineer can not fully understand the designer’s design sketches, the time cost spent on communication between the two parties is not to be underestimated. How to quickly and automatically generate high quality parametric models from car sketches or images efficiently has become a development direction for the automotive design. In this paper, we propose a template-based reconstruction method of 2D high-precision car body model. On the basis of the established 2D model database, a coarse model is achieved by the improved Orthogonal Matching Pursuit algorithm with few key points which are obtained by deep neural network; further, according to the proposed auto-fitting optimization algorithm of cubic Bezier curve, the modeling process of “from coarse to fine” is realized combining edge information. The proposed template-based 2D high-precision model reconstruction algorithm of the car body can greatly reduce the modeling time under the given modeling accuracy.