一个基于单个图像的个性化人体模型的快速建模框架
Qiuqi Yuan1,2,3, Zhi Xiao1, Xiaoming Zhu4
1School of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, People's Republic of China.
Medical & biological engineering & computing
|December 31, 2024
概括
从单一图像创建个性化的人体模型 (HBM) 现在是可行的. 这一框架可以为各种人群提供准确的HBM个性化,改善车辆碰撞响应预测.
科学领域:
- 生物力学 生物力学
- 计算建模计算建模
- 人体建模的人体建模
背景情况:
- 有限元人体模型 (HBM) 对于预测车辆碰撞中受伤反应至关重要.
- 个性化的HBM对于代表多样化的群体至关重要,但很难从单个图像中创建.
研究的目的:
- 开发一个框架,只使用一个图像来个性化HBM.
- 为了能够创建特定主题的HBM,以改进生物机械模拟.
主要方法:
- 开发了一个框架,从单个图像中估计皮肤和骨点云,以及骨位置.
- 基于点云注册的网格变形技术被用于个性化基线HBM.
- 产生了8个具有不同生物特性的个性化HBM.
主要成果:
- 个性化的HBM表现出与基线模型相比的元素质量.
- 个性化有限元模型 (FEM) 的平均几何误差低于7毫米.
- 生物力学反应评估证实了生成的个性化FEM的可接受性.
结论:
- 拟议的框架成功地从单个图像中生成个性化的HBM.
- 这种方法允许创建多样化的,专题特定的生物机械研究HBM.
- 该框架为推进汽车安全领域个性化HBM开发提供了可行的解决方案.
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