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. The time cost of communication between the designer and the model engineer will also affect the modeling efficiency. 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.

Keywords

• Bézier curve fitting
• key points extraction
• orthogonal matching pursuit algorithm
• car body reconstruction