为姿势和动力学估计任务生成人类骨运动的合成图像
Jere Lavikainen1,2, David Pagnon3, Mimmi K Liukkonen4
1Department of Technical Physics, University of Eastern Finland, Kuopio, Finland. jere.lavikainen@uef.fi.
Scientific data
|December 17, 2025
概括
我们创建了一个软件,可以从肌肉骨模型中生成合成人类运动图像. 这个工具有助于为AI模型在姿势估计和运动跟踪方面创建准确的训练数据.
科学领域:
- 生物力学 生物力学
- 计算机视觉 计算机视觉
- 机器学习 机器学习
背景情况:
- 精确的人体姿势和运动跟踪对于各种AI应用至关重要.
- 现有的数据集往往在地标注释中存在不准确性,这是由于非专家的标签.
- 为了强大的模型训练,需要生成具有精确注释的合成数据.
研究的目的:
- 开发用于生成合成人类运动图像的软件,具有准确的模型衍生注释.
- 为人工智能模型创建多样化的培训数据集提供灵活的工具.
- 与现实世界图像数据集相比,提高注释的准确性.
主要方法:
- 开发了利用肌肉骨建模的软件来生成人类运动动力学.
- 集成的联合中心和骨架信息的自动注释.
- 通过不同的视觉因素 (如相机角度,纹理和形态) 启用图像生成.
- 通过编辑肌肉骨模型的虚拟标记器集,允许用户定义的注释.
主要成果:
- 成功生成了合成的人类运动图像,并提供了准确的生物机械信息注释.
- 通过调整视觉参数,证明了从有限的姿势创建大量图像的能力.
- 展示了比现有的真实图像数据集更准确的注释的潜力.
- 启用了用户对注释点的自定义.
结论:
- 开发的软件为生成高质量的合成训练数据提供了有价值的工具,用于人类姿势估计和运动跟踪.
- 标注的生物力学基础提供了卓越的准确性潜力.
- 该软件在视觉因素和注释定制方面的灵活性提高了它对AI研究和开发的实用性.
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