基于面部软组织厚度深度和几何形态测量,Homo sapiens的一种计算机化面部近似方法
Wuyang Shui1,2, Xiujie Wu3,4, Mingquan Zhou2
1Department of Archaeology, University of York, York, UK.
Journal of anatomy
|June 27, 2023
概括
通过使用平均面部软组织深度的新计算机化方法提高了面部近似精度. 这种方法增强了法医科学和人类学的面关系分析.
科学领域:
- 法医人类学 法医人类学
- 生物考古学的生物考古学
- 法医科学 法医科学 法医科学
背景情况:
- 面部近似 (FA) 对于识别遗骸和理解人类进化至关重要.
- 目前的FA方法依赖于主观解释,因为面数据的数量有限.
- 准确的FA需要对骨和软组织关系有更深入的了解.
研究的目的:
- 通过几何形态测量来探索面关系.
- 开发一种计算机化方法,以更准确地进行面部近似测试.
- 减少人类干预在生成可能的面部外观.
主要方法:
- 收集了面部软组织厚度深度 (FSTD) 的平均值,并分析了硬/软组织共变.
- 利用几何形态测量和部分最小平方 (PLS) 分析.
- 开发并测试了一种计算机化方法,用于生成Homo sapiens面部近似图像.
主要成果:
- 计算机化方法实现了高准确度 (91.67%的识别率) 与小的相似误差.
- 密集的FSTD显著提高了近似面部的准确性.
- 鼻腔和口腔的硬组织会影响它们各自的软组织,但对于形状近似的准确性建议谨慎.
结论:
- 拟议的计算机化方法增强了面关系调查.
- 平均密度的FSTD提高了面部近似的可靠性.
- 这种方法在法医科学,考古学和人类学中具有潜在的应用.
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