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Karel Kleisner¹, Jaroslav Trnka², Petr Tureček²

¹Department of Philosophy and History of Science, Faculty of Science, Charles University, Prague, Czech Republic. karel.kleisner@natur.cuni.cz.

Scientific reports

|July 7, 2025

概括

人工智能工具FaceDig自动化了面部标志位置,用于几何形态测量. 这种开源软件确保了人类水平的精度,提高了2D面部形态研究的可复制性.

科学领域:

几何形态仪表的几何形态仪表.
人类测量学人类测量学.
计算机视觉计算机视觉计算机视觉

背景情况:

在几何形态测量学中手动地标是耗时的,容易出现人为错误.
精确量化生物形状,特别是面部结构,依赖于精确的地标数字化.
半地标可以补充传统地标,但会带来放置挑战.

研究的目的:

介绍FaceDig,一个人工智能驱动的工具,用于自动化面部地标放置.
为了达到人类水平的精度,在识别解剖学上正确的面部点.
为 2D 面部形态研究提供开源,可重复的解决方案.

主要方法:

开发一个人工智能工具 (FaceDig) 用于自动地标放置.
训练FaceDig在使用2D面部照片配置的大型,多样化的面部数据集上.
确保与R,Python和TpsDig2软件的兼容性.

主要成果:

FaceDig提供可靠的地标坐标,与手动专家安置可比.
该工具在解剖学上健全的面部点上表现出高精度.
输出与TpsDig2兼容,促进研究的一致性.

结论:

FaceDig提供了一种标准化,可重复的2D面部标志数字化方法.
它是手工方法的强大替代品,提高了效率和准确性.
未来的版本将支持个人资料视图,扩大其应用范围.

关键词:

2D面部分析 2D面部分析自动地标标志的自动化地标面部形态面部形态几何形态仪表的几何形态仪表.具有里程碑意义的数字化形态测量软件是一种形态测量软件.

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