基于草图的装备车辆3D模型智能化生成和改进方法
Intelligent generation and optimization method of equipment vehicle 3D model based on sketch
朱思羽 1戚进 1胡洁1
作者信息
- 1. 上海交通大学机械与动力工程学院,上海 200240
- 折叠
摘要
针对装备建模中采用传统基于草图的3D建模技术生成模型质量较差的问题,提出新的3D模型智能化生成和改进方法.从手绘草图中提取形状和视角特征,采用基于有向距离场的深度神经网络,根据2D草图形状特征生成3D模型,基于2D-3D对齐策略,在预测的手绘草图视角下,使3D模型的可微分渲染轮廓接近真实的手绘草图轮廓.提出支持手绘交互式的3D模型设计改进方法,可根据手绘轮廓线对3D模型进行调整.试验结果表明:采用所提方法生成的3D模型形状特征更接近手绘草图,可应对手绘草图视角的不确定性,降低人工改进成本,为装备生成式概念设计提供技术支持.
Abstract
In order to solve the issue of poor quality of 3D model generated by traditional sketch-based 3D modeling technology,a novel intelligent 3D model generation and optimization method was proposed.The shape and perspective features were extracted from hand-drawn sketches.Deep neural network based on the signed distance field was used to generate a 3D model based on the 2D sketch shape features.Based on the 2D-3D alignment strategy,the differential rasterization of 3D model was made under the predicted sketch perspective.An interactive hand-drawn 3D model design improvement method was proposed,which could adjust 3D silhouettes according to hand-drawn contour lines.The experimental results showed that the 3D model generated by the proposed method could get closer to hand-drawn sketch and cope with the uncertainty of the perspective of hand-drawn sketches,and reduce the cost of manual optimization.The research results could provide technical support for the generative conceptual equipment design.
关键词
智能设计/3D建模/手绘草图/生成式设计/设计改进Key words
intellectualized design/3D modeling/free-hand sketch/generative design/design refinement引用本文复制引用
出版年
2024
NETL
NSTL
万方数据